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Apr 22, 2026

Detroit, MI

|

Computer Engineering

|

Contract

|

$50 - $62 (hourly estimate)

{"JobID":521743,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-83.1,"Longitude":42.38,"Distance":null},"State":"Michigan","Zip":"48243","ReferenceID":"MIC-9ef04f32-6c65-4cbd-8ad9-73dd10b545d0","PostedDate":"\/Date(1776858053000)\/","Description":"We?re looking for a Senior Data Engineer to build and maintain the data pipelines and integrations that power enterprise analytics and client-facing solutions at OneMagnify.This is a craft-focused role where the quality of your work directly impacts analytics, AI products, and the insights clients rely on to make business decisions. The ideal candidate enjoys building reliable data infrastructure, understands how data moves across complex enterprise environments, and collaborates closely with architects, analysts, and data scientists to ensure data is clean, trustworthy, and scalable.This is a great fit for a senior-level Data Engineer who values strong fundamentals, cares deeply about data quality, and wants to work on high-impact client data environments.Compensation:$56hr to $62/hrExact compensation may vary based on several factors, including skills, experience, and education.Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Data Engineer","City":"Detroit","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? Bachelor?s degree in Computer Science, Information Systems, or a related field, or equivalent professional experience? 5+ years of hands-on experience in data engineering development or implementation? Strong SQL skills for data analysis, validation, and troubleshooting? Hands-on experience with Databricks (Delta Lake, Unity Catalog, Spark)? Experience with AWS data services such as Glue, Redshift, S3, Lambda, or Step Functions? Familiarity with APIs and enterprise system integrations","Skills":"? Experience with Databricks MLflow or Feature Store supporting AI/ML pipelines? Familiarity with marketing data ecosystems, including CRM platforms, CDPs, or Martech/Adtech data flows? Exposure to data observability or governance tooling such as lineage tracking, cataloging, or pipeline monitoring? Experience working in a digital agency, marketing services, or consulting environment with multiple concurrent client data environments? Working knowledge of streaming data pipelines or event-driven architectures such as Kafka or Kinesis","Industry":"Computer Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":62.0000,"SalaryLow":49.6000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

We?re looking for a Senior Data Engineer to build and maintain the data pipelines and integrations that power enterprise analytics and client-facing solutions at OneMagnify.This is a craft-focused... role where the quality of your work directly impacts analytics, AI products, and the insights clients rely on to make business decisions. The ideal candidate enjoys building reliable data infrastructure, understands how data moves across complex enterprise environments, and collaborates closely with architects, analysts, and data scientists to ensure data is clean, trustworthy, and scalable.This is a great fit for a senior-level Data Engineer who values strong fundamentals, cares deeply about data quality, and wants to work on high-impact client data environments.Compensation:$56hr to $62/hrExact compensation may vary based on several factors, including skills, experience, and education.Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Apr 06, 2026

Greenville, SC

|

Data Warehousing

|

Contract-to-perm

|

$54 - $68 (hourly estimate)

{"JobID":515172,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-82.37,"Longitude":34.83,"Distance":null},"State":"South Carolina","Zip":"29601","ReferenceID":"GSP-bbef3002-5273-4b70-947f-ec6a2f284a50","PostedDate":"\/Date(1775476356000)\/","Description":"In this role, the Senior Data Platform Engineer will own the day-to-day administration and optimization of the Snowflake platform, ensuring stability, performance, security, and cost efficiency across the enterprise data environment. You will manage account configurations, role hierarchies, integrations, and access controls while proactively monitoring system health, credit usage, and warehouse performance. On a regular basis, you will analyze and tune queries, optimize compute resources, and implement automation to streamline provisioning, monitoring, and maintenance tasks. This team is looking for someone who not only understands the technology but is eager to solve problems, take ownership of the platform, collaborate, and set direction on projects. You will collaborate closely with data engineering, analytics, security, and DevOps teams to support CI/CD workflows, governance initiatives, and regulatory compliance, while also serving as the Snowflake subject matter expert?providing guidance on best practices, troubleshooting complex issues, and mentoring team members to ensure reliable and scalable data delivery.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Senior Data Engineer","City":"Greenville","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?6+ years minimum number of years of experience in Snowflake administration and operations?High-level SQL and deep understanding of Snowflake architecture?Strong knowledge of RBAC, security, and compliance frameworks?Experience with ETL/ELT tools and data integration strategies?Proficiency in Python or other scripting languages for automation?Familiarity with Azure and DevOps practices?Experience with monitoring tools and cost optimization strategies","Skills":"?Bachelor?s Degree in Computer Science or other related field?Snowflake certifications including Snowflake SnowPro certification and badges","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":68.0000,"SalaryLow":54.4000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

In this role, the Senior Data Platform Engineer will own the day-to-day administration and optimization of the Snowflake platform, ensuring stability, performance, security, and cost efficiency... across the enterprise data environment. You will manage account configurations, role hierarchies, integrations, and access controls while proactively monitoring system health, credit usage, and warehouse performance. On a regular basis, you will analyze and tune queries, optimize compute resources, and implement automation to streamline provisioning, monitoring, and maintenance tasks. This team is looking for someone who not only understands the technology but is eager to solve problems, take ownership of the platform, collaborate, and set direction on projects. You will collaborate closely with data engineering, analytics, security, and DevOps teams to support CI/CD workflows, governance initiatives, and regulatory compliance, while also serving as the Snowflake subject matter expert?providing guidance on best practices, troubleshooting complex issues, and mentoring team members to ensure reliable and scalable data delivery.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Mar 13, 2026

Bloomington, MN

|

Data Warehousing

|

Contract,Perm Possible

|

$54 - $68 (hourly estimate)

{"JobID":506387,"JobType":["Contract,Perm Possible"],"EmployerID":null,"Location":{"Latitude":-93.26,"Longitude":44.96,"Distance":null},"State":"Minnesota","Zip":"55425","ReferenceID":"HNC-cfc84381-af3c-472d-bc54-596f939474aa","PostedDate":"\/Date(1773419496000)\/","Description":"Insight Global is seeking a Data Engineer to join a large payor/provider. This person will be responsible to:? Design, develop, and implement end-to-end data solutions using Azure Databricks.? Convert current SQL to Python code in Databricks.? Modify and maintain data pipelines.? Write, test, and optimize PySpark and SQL scripts to transform and load high volumes of structured data.? Update or maintain existing data pipelines in a production setting.? Ensure data quality and integrity by implementing data validation and cleansing processes. ? Demonstrate strong verbal communication and critical thinking skills, working well within a team environment and not being afraid to speak up.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"REMOTE Data Engineer in MN!","City":"Bloomington","ExpirationDate":null,"PriorityOrder":0,"Requirements":"2+ years of data engineering experience in an Azure environmentStrong SQL and python abilityDatabricks or Snowflake experience","Skills":"Databricks experiencePharmacy data experience2+ years of experience in other technologies related to their tech stack (PySpark, GitHub, PowerBI, Airflow, Fabric)Relevant certifications (Azure, Databricks etc)","Industry":"Data Warehousing","Country":"US","Division":"IGH","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":68.0000,"SalaryLow":54.4000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Insight Global is seeking a Data Engineer to join a large payor/provider. This person will be responsible to:? Design, develop, and implement end-to-end data solutions using Azure Databricks.?... Convert current SQL to Python code in Databricks.? Modify and maintain data pipelines.? Write, test, and optimize PySpark and SQL scripts to transform and load high volumes of structured data.? Update or maintain existing data pipelines in a production setting.? Ensure data quality and integrity by implementing data validation and cleansing processes. ? Demonstrate strong verbal communication and critical thinking skills, working well within a team environment and not being afraid to speak up.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Apr 02, 2026

Oakland, CA

|

Data Warehousing

|

Contract

|

$68 - $85 (hourly estimate)

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This role will help balance the group by emphasizing practical problem solving, system design, and scalable machine learning solutions, while still engaging deeply in data science and model development.________________________________________Key Responsibilities?Design, develop, and deploy machine learning systems supporting wildfire consequence modeling?Collaborate closely with academic researchers and data scientists to translate research concepts into production ready models?Lead or contribute to solution architecture for data and ML workflows, balancing performance, scalability, and maintainability?Design and implement end to end ML pipelines, including data ingestion, feature engineering, model training, and inference?Apply strong software engineering principles to machine learning model development?Support and guide architectural decisions related to cloud infrastructure, tooling, and integrations?Work hands on with geospatial data and analytics relevant to wildfire modeling?Partner with the broader data science team to improve model robustness, scalability, and operational readinessWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Data Scientist/Machine Learning Engineer","City":"Oakland","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Required Qualifications?Professional experience developing and designing machine learning technologies and systems?Strong Python skills, with experience building production grade data and ML solutions?Experience with PySpark for large scale data processing?Experience working on a data science or machine learning team, collaborating with researchers or academics?Ability to both problem solve analytically and design scalable models and systems?Comfortable operating as a hybrid Machine Learning Engineer / Data Scientist________________________________________Technical \u0026 Platform Experience?Cloud \u0026 Data Platforms:oAWS ecosystem, including SageMaker, S3, Lambda, GlueoAnd/or experience with SnowflakeoAnd/or Palantir Foundry?Architecture \u0026 Systems:oSolution architecture for data and ML systemsoModel pipelines, APIs, and system integrations________________________________________Geospatial \u0026 Domain Expertise?Strong geospatial analytics experience using Python, including tools such as:orioxarrayoGDALorasterioogeopandasodask?SQL experience supporting geospatial or analytical workloads?Experience or strong interest in wildfire spread or consequence modeling________________________________________Nice to Have / Preferred?Experience in wildfire modeling, environmental modeling, or risk/consequence modeling?Background working in applied ML environments where research transitions into production?Experience mentoring or supporting academic researchers in applied engineering contexts________________________________________What Makes This Role Unique?Opportunity to balance an academically driven team with practical, solution oriented engineering?High impact work supporting wildfire risk and consequence analysis?Strong influence over system design and technical direction?Blend of data science depth and software engineering rigor","Skills":"","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":85.0000,"SalaryLow":68.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

We are seeking a Machine Learning Engineer?leaning Data Scientist to join the Wildfire Consequence Modeling team. This role is ideal for someone who can work effectively with academically oriented... researchers while bringing a solution architecture and software engineering mindset to model design, implementation, and production grade systems.The team is composed primarily of individuals with academic backgrounds. This role will help balance the group by emphasizing practical problem solving, system design, and scalable machine learning solutions, while still engaging deeply in data science and model development.________________________________________Key Responsibilities?Design, develop, and deploy machine learning systems supporting wildfire consequence modeling?Collaborate closely with academic researchers and data scientists to translate research concepts into production ready models?Lead or contribute to solution architecture for data and ML workflows, balancing performance, scalability, and maintainability?Design and implement end to end ML pipelines, including data ingestion, feature engineering, model training, and inference?Apply strong software engineering principles to machine learning model development?Support and guide architectural decisions related to cloud infrastructure, tooling, and integrations?Work hands on with geospatial data and analytics relevant to wildfire modeling?Partner with the broader data science team to improve model robustness, scalability, and operational readinessWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Jun 17, 2026

Northbrook, IL

|

Data Warehousing

|

Contract-to-perm

|

$22 - $28 (hourly estimate)

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Design, build, and optimize data pipelines and analytical data models (batch and near real-time) to support enterprise reporting, BI, and advanced analytics use cases ?Assess source systems and data quality, defining transformation logic, data standards, and controls to meet business definitions and governance requirements ?Partner with business and technical stakeholders to translate requirements into technical designs, and contribute to estimation, planning, and delivery sequencing ?Drive data architecture and engineering best practices, including modular design, reusability, performance optimization, and cost efficiency ?Mentor and coach team members, elevating overall engineering capability through guidance, knowledge sharing, and hands-on support ?Perform code and design reviews, ensuring adherence to standards, maintainability, and optimal performance of data solutions ?Lead root cause analysis and issue resolution, implementing preventative measures and performance improvements across pipelines and platforms ?Continuously improve delivery processes, identifying opportunities to increase speed, quality, automation, and reliability ?Implement and enforce data governance practices, including lineage, documentation, data quality checks, and secure data handling ?Collaborate with platform and infrastructure teams to ensure optimal use of cloud data platforms (e.g., Snowflake, Azure), including performance tuning and cost management ?Support DevOps and CI/CD practices for data engineering, including automated testing, deployment pipelines, and environment management ?Ensure operational excellence, including monitoring, alerting, and SLAs for critical data pipelines and data products ?Contribute to platform strategy and tool selection, evaluating new technologies to enhance data engineering capabilities and self-service enablement ?Reads and follows the Underwriters Laboratories Code of Conduct and all physical and digital security practices. ?Performs other duties as directed. None of the foregoing information in any way states or implies that these are the only duties to be performed by an employee occupying this position. Employees will be required to follow other job-related instructions and perform other job-related duties as requested. Duties are not necessarily comprehensive and are subject to change at any time at the discretion of management. Consult the position qualifications for this job when using the position profile for hiring, transfer, or promotion decisions or when providing career guidance.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Data Engineer - INTL Brazil","City":"Northbrook","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? Bachelor?s degree in Computer Science, Engineering, Mathematics, Statistics or related field ? Deep Experience with data transformation, ETL/ELT and data management ? Deep Experience with writing and optimize complex SQL ? Experience with data modeling using dimensional modeling techniques (Star Schema) ? Experience in cloud infrastructure, computing, on Big Data platforms ? Understanding of structured, unstructured, semi-structured data ? Experience with data streaming, messaging, and event driven data architecture ? Knowledge in data governance and data quality frameworks ? Experience of working in an Agile environment ? Experience working with all NoSQL Databases e.g. Graph, Document, Column ? Knowledge of machine learning and artificial intelligence concepts ? Ability to articulate an idea with strong communication and presentation skills ? Work as part of a small team, sharing ideas and contributing to the strategic goals","Skills":"","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":28.0000,"SalaryLow":22.4000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

The Senior Data Engineer plays a senior role in the design, development, and maintenance of constructing and populating a data lakehouse. This position helps develop and improve processes and... techniques that ensure efficient data processing and high data quality to power analytics. The role applies technical expertise to design data architecture and data models and to build pipelines that populate the various data zones (bronze, silver, and gold) within a data lakehouse architecture. JOB RESPONSIBILITIES: ?Lead end-to-end technical delivery of complex data and analytics solutions, ensuring scalability, reliability, and alignment to business outcomes ? Design, build, and optimize data pipelines and analytical data models (batch and near real-time) to support enterprise reporting, BI, and advanced analytics use cases ?Assess source systems and data quality, defining transformation logic, data standards, and controls to meet business definitions and governance requirements ?Partner with business and technical stakeholders to translate requirements into technical designs, and contribute to estimation, planning, and delivery sequencing ?Drive data architecture and engineering best practices, including modular design, reusability, performance optimization, and cost efficiency ?Mentor and coach team members, elevating overall engineering capability through guidance, knowledge sharing, and hands-on support ?Perform code and design reviews, ensuring adherence to standards, maintainability, and optimal performance of data solutions ?Lead root cause analysis and issue resolution, implementing preventative measures and performance improvements across pipelines and platforms ?Continuously improve delivery processes, identifying opportunities to increase speed, quality, automation, and reliability ?Implement and enforce data governance practices, including lineage, documentation, data quality checks, and secure data handling ?Collaborate with platform and infrastructure teams to ensure optimal use of cloud data platforms (e.g., Snowflake, Azure), including performance tuning and cost management ?Support DevOps and CI/CD practices for data engineering, including automated testing, deployment pipelines, and environment management ?Ensure operational excellence, including monitoring, alerting, and SLAs for critical data pipelines and data products ?Contribute to platform strategy and tool selection, evaluating new technologies to enhance data engineering capabilities and self-service enablement ?Reads and follows the Underwriters Laboratories Code of Conduct and all physical and digital security practices. ?Performs other duties as directed. None of the foregoing information in any way states or implies that these are the only duties to be performed by an employee occupying this position. Employees will be required to follow other job-related instructions and perform other job-related duties as requested. Duties are not necessarily comprehensive and are subject to change at any time at the discretion of management. Consult the position qualifications for this job when using the position profile for hiring, transfer, or promotion decisions or when providing career guidance.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Jun 11, 2026

Rosemont, IL

|

Data Warehousing

|

Perm

|

$100k - $160k (estimate)

{"JobID":540371,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-87.9,"Longitude":42.03,"Distance":null},"State":"Illinois","Zip":"60018","ReferenceID":"CHI-5c915589-e01f-4084-b7dc-e2160b32f9a8","PostedDate":"\/Date(1781181282000)\/","Description":"? Design, build, and maintain data pipelines moving data from multiple source systems into centralized data warehouses? Perform day-to-day ETL operations using SSIS and SQL Server? Collaborate with offshore team members, providing guidance and ensuring accountability? Participate in CI/CD processes for deployment and automation? Support ongoing data warehousing initiatives and operational enhancements? Work on prioritized pipeline tasks with defined deliverables? Contribute to data platform modernization efforts and future cloud migrationWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Senior Data Engineer","City":"Rosemont","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? 3+ years of Data Engineering / Data Warehousing experience? Strong hands-on experience with SSIS ETL? Advanced SQL Server expertise? Experience with CI/CD pipelines? Proven experience designing and moving data from multiple sources into centralized data warehouses? Strong SQL + Python skills (beyond basics, including optimization)Bachelor?s degree or equivalent","Skills":"? Experience with Kafka and/or Couchbase? DevOps experience (automation of deployments, working in CI/CD ecosystems)","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":160000.0000,"SalaryLow":100000.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

? Design, build, and maintain data pipelines moving data from multiple source systems into centralized data warehouses? Perform day-to-day ETL operations using SSIS and SQL Server? Collaborate with... offshore team members, providing guidance and ensuring accountability? Participate in CI/CD processes for deployment and automation? Support ongoing data warehousing initiatives and operational enhancements? Work on prioritized pipeline tasks with defined deliverables? Contribute to data platform modernization efforts and future cloud migrationWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Mar 17, 2026

Tempe, AZ

|

Network Engineer

|

Contract

|

$36 - $45 (hourly estimate)

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- Rack, stack, and cable Cisco network equipment (switches, routers, firewalls) and UCS Systems in a data center environment- Install and label copper and fiber cabling according to data center... standards- Perform hardware turn-ups, including power-on, port verification, and basic connectivity testing- Follow detailed network diagrams, rack elevations, and installation documentation- Assist with equipment moves, adds, and changes (MACs)- Maintain accurate cable management, labeling, and documentation- Coordinate with Network Engineers and Data Center Engineers during installs and upgrades- Troubleshoot basic physical-layer issues (power, cabling, link lights)We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Feb 04, 2026

Plano, TX

|

Software Engineering

|

Perm

|

$120k - $130k (estimate)

{"JobID":490837,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-96.74,"Longitude":33.04,"Distance":null},"State":"Texas","Zip":"75093","ReferenceID":"TPA-38d048c0-b8aa-4f2f-a69d-bb7da7273d70","PostedDate":"\/Date(1770240636000)\/","Description":"Insight Global is looking for a Lead Data Engineer to come join their team. This candidate will be helping design and deliver modern data solutions using cloud-based platforms and AI-driven innovations. You will partner with business, technology, and governance teams to enable scalable, secure and compliant data platforms that power advanced analytics and AI. You will act as the enterprise expert for designing, developing, and optimizing data processing systems and pipelines used to populate data into transactional databases, data warehouses, data marts, or other data repositories. You will also coordinate with other IT teams to configure and implement security, monitoring, tooling, and related capabilities as they apply to their assigned systems. The Day-to-Day:?Use Agile practices to elicit and refine requirements through an iterative process of planning, defining acceptance criteria, prioritizing, developing and delivering enterprise data asset solutions in collaboration with business intelligence teams or other IT teams?Develop, configure, customize and manage integration tools, databases, warehouses and analytical systems?Design, build, and deploy data extraction, transformation, and loading processes and pipelines from various sources including databases, APIs, and data files?Develop and deploy structured, semi-structured, and unstructured data storage models such as data vault or dimensional modeling on a various platforms to meet business requirements?Coordinate security, application monitoring, development tooling, and related capabilities with responsible teams?Provide operational support and incident management for data pipelines and data flows, including proactively updating internal clients and relevant parties on status changes and issues encountered?Author and maintain accurate and up-to-date documentation for processes, procedures, and technical designs?Coach junior data and business intelligence personnel across the company, including developing material and guiding junior personnel on their technical skill growthWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Data Engineer","City":"Plano","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?7+ years of experience as a Data Engineer oMust be very strong in Databricks (4+ years of experience in Databricks) ?Must have strong experience with Pyspark, Python, and Databricks Notebooks?Experience with Unity Catalog (Databricks feature)?Strong governance experience oThere is a big move into AI at this company","Skills":"?Graph Databases (They are using Neo4J)?Azure Synapse","Industry":"Software Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":130000.0000,"SalaryLow":120000.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Insight Global is looking for a Lead Data Engineer to come join their team. This candidate will be helping design and deliver modern data solutions using cloud-based platforms and AI-driven... innovations. You will partner with business, technology, and governance teams to enable scalable, secure and compliant data platforms that power advanced analytics and AI. You will act as the enterprise expert for designing, developing, and optimizing data processing systems and pipelines used to populate data into transactional databases, data warehouses, data marts, or other data repositories. You will also coordinate with other IT teams to configure and implement security, monitoring, tooling, and related capabilities as they apply to their assigned systems. The Day-to-Day:?Use Agile practices to elicit and refine requirements through an iterative process of planning, defining acceptance criteria, prioritizing, developing and delivering enterprise data asset solutions in collaboration with business intelligence teams or other IT teams?Develop, configure, customize and manage integration tools, databases, warehouses and analytical systems?Design, build, and deploy data extraction, transformation, and loading processes and pipelines from various sources including databases, APIs, and data files?Develop and deploy structured, semi-structured, and unstructured data storage models such as data vault or dimensional modeling on a various platforms to meet business requirements?Coordinate security, application monitoring, development tooling, and related capabilities with responsible teams?Provide operational support and incident management for data pipelines and data flows, including proactively updating internal clients and relevant parties on status changes and issues encountered?Author and maintain accurate and up-to-date documentation for processes, procedures, and technical designs?Coach junior data and business intelligence personnel across the company, including developing material and guiding junior personnel on their technical skill growthWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

May 28, 2026

Vancouver, BC

|

Data Warehousing

|

Contract

|

$43 - $54 (hourly estimate)

{"JobID":535147,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":0,"Longitude":0,"Distance":null},"State":"British Columbia","Zip":"V6J 1","ReferenceID":"VAN-c4fa8fa9-7d93-4562-b001-eed2a1c8f8cf","PostedDate":"\/Date(1779989531000)\/","Description":"Insight Global is seeking a dynamic Data Engineer (ML) to join the Data Platform team at a large retail client. This team oversees the technical foundation of the organization?s enterprise data platform, enabling teams to build scalable data products and integrate ML/AI into their workflows.As a Data Engineer with a focus on ML Ops and platform, you will be responsible for the development, support, configuration, and automation of the data tools, infrastructure, and workflows that support the ML Ops strategy. You will work closely with data engineers, analysts, and architects to establish and scale enterprise ML platform capabilities.ResponsibilitiesPlatform Ownership ? Databricks \u0026 ML EcosystemOwn and support the Databricks platform, with a focus on administration, optimization, and operational supportPartner with engineering teams to support workloads, troubleshoot platform issues, and improve usage patternsSupport a Unity Catalog migration, helping drive governance and standardization across the platformMonitor and support ML platform operations and workflows to ensure consistency and reliabilityML Ops Development \u0026 StandardizationProvide technical leadership in the design, expansion, and optimization of ML Ops capabilitiesDesign enterprise standards for infrastructure, process automation, and observability across the ML lifecycleBuild and mature ML pipelines using MLflow, focusing on improving current-state processes and consolidationSimplify and unify ML workflows across the enterprise into a scalable, standardized frameworkSupport the full ML lifecycle: model development, training, deployment, and productionizationCloud, Infrastructure \u0026 OperationsLead Azure cloud infrastructure administration and automation, leveraging Infrastructure as Code (IaC)Provision and automate network configurations, access controls, services, and applicationsEnsure cloud environments meet expectations for reliability, availability, performance, and securityDefine and implement monitoring, alerting, and observability frameworksOversee and participate in production deployments and CI/CD improvementsOperations \u0026 Cross-Functional CollaborationCoordinate recovery from incidents using well-defined operational procedures and communication frameworksManage outages, escalations, and production incidents across ML and platform systemsInterface with global vendors and internal stakeholdersActively recommend and implement improvements to the continuous delivery toolsetProvide guidance and mentorship to junior engineersWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Data Engineer - ML","City":"Vancouver","ExpirationDate":null,"PriorityOrder":0,"Requirements":"- 4+ years building or supporting ML Ops pipelines, ideally using Azure services(Azure Data Factory, Azure Databricks, Azure Functions, ADLS, Azure SQL, Fabric/OneLake, etc.)- 3+ years of hands-on experience with Azure cloud infrastructure administration- 3+ years working with Databricks + MLflow + Unity Catalog in ML/AI workflows- Strong experience supporting Databricks platforms (administration + operations)- Proven experience managing outages, escalations, and production incidents- Experience with DevOps tools: Azure DevOps, Jenkins, GitLab, Terraform, Airflow- Strong coding skills in Python, PySpark, SQL, Spark SQL- Experience with Infrastructure as Code (IaC)- Familiarity with Agile delivery methodologies","Skills":"Experience with Snowflake (strong plus)Exposure to other cloud platforms (AWS, GCP)Experience working in a retail environment","Industry":"Data Warehousing","Country":"Canada","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":54.0000,"SalaryLow":43.2000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Insight Global is seeking a dynamic Data Engineer (ML) to join the Data Platform team at a large retail client. This team oversees the technical foundation of the organization?s enterprise data... platform, enabling teams to build scalable data products and integrate ML/AI into their workflows.As a Data Engineer with a focus on ML Ops and platform, you will be responsible for the development, support, configuration, and automation of the data tools, infrastructure, and workflows that support the ML Ops strategy. You will work closely with data engineers, analysts, and architects to establish and scale enterprise ML platform capabilities.ResponsibilitiesPlatform Ownership ? Databricks & ML EcosystemOwn and support the Databricks platform, with a focus on administration, optimization, and operational supportPartner with engineering teams to support workloads, troubleshoot platform issues, and improve usage patternsSupport a Unity Catalog migration, helping drive governance and standardization across the platformMonitor and support ML platform operations and workflows to ensure consistency and reliabilityML Ops Development & StandardizationProvide technical leadership in the design, expansion, and optimization of ML Ops capabilitiesDesign enterprise standards for infrastructure, process automation, and observability across the ML lifecycleBuild and mature ML pipelines using MLflow, focusing on improving current-state processes and consolidationSimplify and unify ML workflows across the enterprise into a scalable, standardized frameworkSupport the full ML lifecycle: model development, training, deployment, and productionizationCloud, Infrastructure & OperationsLead Azure cloud infrastructure administration and automation, leveraging Infrastructure as Code (IaC)Provision and automate network configurations, access controls, services, and applicationsEnsure cloud environments meet expectations for reliability, availability, performance, and securityDefine and implement monitoring, alerting, and observability frameworksOversee and participate in production deployments and CI/CD improvementsOperations & Cross-Functional CollaborationCoordinate recovery from incidents using well-defined operational procedures and communication frameworksManage outages, escalations, and production incidents across ML and platform systemsInterface with global vendors and internal stakeholdersActively recommend and implement improvements to the continuous delivery toolsetProvide guidance and mentorship to junior engineersWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Mar 02, 2026

Marshall, PA

|

Computer Engineering

|

Perm

|

$90k - $130k (estimate)

{"JobID":501509,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-80.09,"Longitude":40.64,"Distance":null},"State":"Pennsylvania","Zip":"15086","ReferenceID":"PIT-3f9b414c-31c6-48e6-9716-af91ddc7a070","PostedDate":"\/Date(1772493668000)\/","Description":"One of our clients within the Financial Services space is looking for a full-time Data Engineer to support their organization. This position is part of the Enterprise Data \u0026 Analytics Capability team under Global Technology Organization. In this role, you will lead the design, development, and optimization of large-scale data solutions on the Databricks platform. Day to day responsibilities include the following:?Design, build, and maintain scalable data pipelines on Databricks (using Spark, Delta Lake, etc.)?Write clean, efficient and maintainable PySpark or SQL code for data transformation?Design robust data models for analytics and reporting?Ensure data quality, consistency, and governance?Handle batch and streaming data workflows?Provide architectural guidance and support in platform usage?Drive best practices in data engineering across the team?Monitor and optimize performance of Spark jobs and cluster usage?Ensure compliance with security and data privacy standardsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Data Engineer","City":"Marshall","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?Bach Degree in IT related field?Databricks?Experience programming and working with a big data platform?Strong background working with large data setsoLikely need to come from a larger enterprise company who has large sets of data?Python?SQL?Experience with CI/CD pipelines and version control tools","Skills":"-Experience with data visualization tools and BI platforms-Certification in Databricks or relevant cloud platforms","Industry":"Computer Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":130000.0000,"SalaryLow":90000.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

One of our clients within the Financial Services space is looking for a full-time Data Engineer to support their organization. This position is part of the Enterprise Data & Analytics Capability... team under Global Technology Organization. In this role, you will lead the design, development, and optimization of large-scale data solutions on the Databricks platform. Day to day responsibilities include the following:?Design, build, and maintain scalable data pipelines on Databricks (using Spark, Delta Lake, etc.)?Write clean, efficient and maintainable PySpark or SQL code for data transformation?Design robust data models for analytics and reporting?Ensure data quality, consistency, and governance?Handle batch and streaming data workflows?Provide architectural guidance and support in platform usage?Drive best practices in data engineering across the team?Monitor and optimize performance of Spark jobs and cluster usage?Ensure compliance with security and data privacy standardsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

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