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Apr 07, 2026

San Diego, CA

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Data Warehousing

|

Contract

|

$48 - $60 (hourly estimate)

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A prestigious University in San Diego is looking to hire an experienced SQL Developer to help with a project supporting the go-live of a new SIS (Student information system). There are currently 250... downstream applications that depend on the existing student information system, so these apps need to connect to a new data warehouse once the new system goes live. To support this effort, the SQL developer will extract data from the existing data warehouse in SAP Hana (point A) into the DB2 data warehouse (point B). This will require advanced query skills and ability to write SQL tables in DB2 syntax, to create a sub-set of the existing data warehouse for the downstream applications to connect to. In this role, you will work closely with the SAP Hana Dba, DB2 DBA, and various developers that support the applications. This position requires advanced development skills in all areas of MS SQL.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/.

May 01, 2026

Los Angeles, CA

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Data Warehousing

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Contract

|

$46 - $57 (hourly estimate)

{"JobID":525698,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-118.24,"Longitude":34.03,"Distance":null},"State":"California","Zip":"90021","ReferenceID":"LAX-5181e325-cdf9-496c-b197-852ee82ba15d","PostedDate":"\/Date(1777667304000)\/","Description":"OverviewA client in the luxury fashion space is looking for a Data Analyst/Engineer hybrid. This role sits at the intersection of business, data, and engineering. The individual will partner closely with Finance, B2C, eCommerce, Retail, and Digital Marketing stakeholders to understand their needs, translate requests into data requirements, and work with Data Engineering to deliver reliable data models and dashboards. The role is highly SQL driven with a strong emphasis on debugging, data modeling (dbt), and system understanding.Key ResponsibilitiesStakeholder \u0026 Business Partnership? Act as the primary analytics partner for Finance, B2C, eCommerce, and Retail teams.? Own intake and tracking of analytics requests, documenting and managing them in Jira.? Identify stakeholder needs, blockers, and data gaps; determine the appropriate next steps and owners.Data \u0026 Analytics Work? Build and maintain dashboards using data pulled from multiple systems.? Perform data cleaning, testing, and validation primarily using SQL.? Quickly identify issues in dashboards or models and trace errors back to the source system or dbt model.? Reverse engineer existing logic where documentation is limited to understand how data maps to the business.? Load curated datasets into Tableau and explore opportunities for enhanced visualization, customization, and interactivity.Data Modeling \u0026 Engineering Collaboration? Work hands on with dbt models: build, modify, and maintain data models to support business requests.? Collaborate closely with Data Engineers, who handle backend work and new system integrations.Systems \u0026 Integrations? Support and analyze data from systems such as Shopify, POS, and Teamwork.? Develop a strong understanding of how data behaves within each system and how it is ingested into the warehouse.? Serve as the bridge between business users and technical teams, ensuring requests are well scoped and actionable.Forecasting \u0026 Advanced Analytics ? Some use of Python; forecasting work (e.g., revenue by store/day) is mainly internal and ad hoc.? May support or be assigned AI related tasks as they arise.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 Analytics Engineer","City":"Los Angeles","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? 5+ years of experience in the data analytics/engineering space? Strong SQL expertise - complex joins, multi source queries, and window functions, with the ability to connect SQL logic back to business questions? dbt experience - building, maintaining, and updating data models and using Git/version control for dbt workflows? Familiarity with modern orchestration (Dagster, Airbyte, or equivalent)? ETL \u0026 Data Pipelines - solid understanding of ETL workflows and data pipelines? Experience working with ERPs (i.e. NetSuite), or Shopify/POS systems? Experience with working in a consumer goods or retail industry? Technical Collaboration ? basic understanding of AWS and modern data infrastructure to support effective teamwork","Skills":"? Exposure to BigQuery (limited usage planned)? Broader cloud experience (AWS preferred; GCP familiarity is a bonus)? Prior coursework or background in data science, ML, or forecasting? Interest in AI use cases within analytics and data workflows","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":57.0000,"SalaryLow":45.6000,"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)\/"}

OverviewA client in the luxury fashion space is looking for a Data Analyst/Engineer hybrid. This role sits at the intersection of business, data, and engineering. The individual will partner closely... with Finance, B2C, eCommerce, Retail, and Digital Marketing stakeholders to understand their needs, translate requests into data requirements, and work with Data Engineering to deliver reliable data models and dashboards. The role is highly SQL driven with a strong emphasis on debugging, data modeling (dbt), and system understanding.Key ResponsibilitiesStakeholder & Business Partnership? Act as the primary analytics partner for Finance, B2C, eCommerce, and Retail teams.? Own intake and tracking of analytics requests, documenting and managing them in Jira.? Identify stakeholder needs, blockers, and data gaps; determine the appropriate next steps and owners.Data & Analytics Work? Build and maintain dashboards using data pulled from multiple systems.? Perform data cleaning, testing, and validation primarily using SQL.? Quickly identify issues in dashboards or models and trace errors back to the source system or dbt model.? Reverse engineer existing logic where documentation is limited to understand how data maps to the business.? Load curated datasets into Tableau and explore opportunities for enhanced visualization, customization, and interactivity.Data Modeling & Engineering Collaboration? Work hands on with dbt models: build, modify, and maintain data models to support business requests.? Collaborate closely with Data Engineers, who handle backend work and new system integrations.Systems & Integrations? Support and analyze data from systems such as Shopify, POS, and Teamwork.? Develop a strong understanding of how data behaves within each system and how it is ingested into the warehouse.? Serve as the bridge between business users and technical teams, ensuring requests are well scoped and actionable.Forecasting & Advanced Analytics ? Some use of Python; forecasting work (e.g., revenue by store/day) is mainly internal and ad hoc.? May support or be assigned AI related tasks as they arise.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 05, 2026

Mount Juliet, TN

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Data Warehousing

|

Contract

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$56 - $70 (hourly estimate)

{"JobID":515141,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-86.52,"Longitude":36.2,"Distance":null},"State":"Tennessee","Zip":"37122","ReferenceID":"MIA-0136df05-35cd-4f5e-bfb5-59c3af83f6b2","PostedDate":"\/Date(1775420727000)\/","Description":"The Senior Data Engineer will be responsible for designing, governing, and evolving a centralized data platform in Snowflake by ingesting large volumes of both structured and unstructured data from multiple internal source systems. On a day-to-day basis, this role works closely with other data engineers, providing hands-on technical guidance, architectural direction, and best-practice recommendations to ensure data is modeled, streamed, and organized correctly within Snowflake. The engineer leverages Azure Data Factory to orchestrate batch and streaming pipelines, establishes a more structured and scalable approach to data ingestion, and ensures performance, reliability, and cost efficiency across Snowflake workloads. They partner with analytics and reporting stakeholders to support highly customized Power BI reports and semantic models, while also advising on modern Snowflake capabilities, such as AI/Cortex features where appropriate. This role serves as the on-site subject matter expert, spending significant time reviewing designs, explaining recommended approaches, documenting standards, and translating business requirements into scalable data models to support enterprise analytics and decision-making.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":"Sr. Data Engineer","City":"Mount Juliet","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? 7+ years of experience in data engineering with strong hands-on expertise in Snowflake and Power BI ? Ability to design analytics-ready data models and enterprise BI solutions and dashboards ? Strong background in Snowflake architecture design, including multi-cluster warehouses, workload isolation, and scaling strategies? Experience with Azure Data Factory and well-versed in working with large-scale structured/unstructured datasets? Deep understanding of ELT/ETL patterns, data warehousing concepts, and performance tuning ? Strong Snowflake experience across ingestion, optimization, governance/security, and large-scale data platform design, including hands-on use of native features and cost-efficient architecture? Hands-on experience with Snowflake-native development and AI capabilities (Snowpark, Native Apps/Snowlit, unstructured data handling, and ML integrations)? Advanced SQL and Python skills for data transformation, automation, and analytics enablement","Skills":"Experience with Snowflake Cortex / AI \u0026 ?super intelligence? capabilities","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":70.0000,"SalaryLow":56.0000,"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)\/"}

The Senior Data Engineer will be responsible for designing, governing, and evolving a centralized data platform in Snowflake by ingesting large volumes of both structured and unstructured data from... multiple internal source systems. On a day-to-day basis, this role works closely with other data engineers, providing hands-on technical guidance, architectural direction, and best-practice recommendations to ensure data is modeled, streamed, and organized correctly within Snowflake. The engineer leverages Azure Data Factory to orchestrate batch and streaming pipelines, establishes a more structured and scalable approach to data ingestion, and ensures performance, reliability, and cost efficiency across Snowflake workloads. They partner with analytics and reporting stakeholders to support highly customized Power BI reports and semantic models, while also advising on modern Snowflake capabilities, such as AI/Cortex features where appropriate. This role serves as the on-site subject matter expert, spending significant time reviewing designs, explaining recommended approaches, documenting standards, and translating business requirements into scalable data models to support enterprise analytics and decision-making.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 12, 2024

Spring, TX

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Data Warehousing

|

Perm

|

$120k - $200k (estimate)

{"JobID":362877,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-95.3631818181818,"Longitude":30.085,"Distance":null},"State":"Texas","Zip":"77380","ReferenceID":"HOU-8bedc854-0805-4aa4-8f14-0427f65a5570","PostedDate":"\/Date(1718212613000)\/","Description":"An Oil \u0026 Gas customer of Insight Global is looking for a Master Data Engineer to join their team full-time to sit in The Woodlands, TX, on a hybrid schedule 3 days a week and as needed with travel up to 5% within the Texas area. The IT division\u0027s primary goal over the next few years is focused on their Data Transformation efforts that will support all of the company\u0027s domains for midstream assets. This person will be designing, developing, and deploying innovative data and analytical solutions to enhance current operations and shape the future of the organization. The salary range for this role is dependent on level of experience with a flexible range of $120,000-$200,000 annually.Responsibilities:Collaborate with data stewards to design, develop and prioritize capabilities to accurately capture high quality data.Maintain and improve existing master data management systems while evaluating and implementing future improvements and solutions.Review integration complexities of current and future systems and understand the effects of combining data from different systems.Design, build, and manage data pipelines to ingest, transform, and distribute master data between enterprise systems and Azure destinations.Write complex system queries into operational systems to extract datasets that meet master data source ingestion requirements.Employ programming languages like Java and Python in relation to enhancing master data applications.We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, 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 Human Resources Request Form. The EEOC \"Know Your Rights\" Poster is available here. 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":"Master Data Engineer","City":"Spring","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Previous experience in administration and design of Master Data applications (ex. SAP Master Data Governance, Profisee, Tibco EBX)8+ years of experience as a Data Engineer and/or Software Developer with proficiency in JavaIn-depth knowledge with Azure cloud services (ex. ADF, Onelake, PowerBI, PowerQuery), relational database design principles, data warehousing and data modeling, performance tuning, and optimizationProficiency in T-SQL, ETL/ELT processes/tooling, data modeling, and database design principlesHigh level knowledge of Microsoft PurviewExcellent communication skills with the ability to interact with developers and business users supporting requirements gathering","Skills":"Oil and Gas/Midstream industry experienceHeavy Data Transformation experience","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":200000.0000,"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)\/"}

An Oil & Gas customer of Insight Global is looking for a Master Data Engineer to join their team full-time to sit in The Woodlands, TX, on a hybrid schedule 3 days a week and as needed with travel up... to 5% within the Texas area. The IT division's primary goal over the next few years is focused on their Data Transformation efforts that will support all of the company's domains for midstream assets. This person will be designing, developing, and deploying innovative data and analytical solutions to enhance current operations and shape the future of the organization. The salary range for this role is dependent on level of experience with a flexible range of $120,000-$200,000 annually.Responsibilities:Collaborate with data stewards to design, develop and prioritize capabilities to accurately capture high quality data.Maintain and improve existing master data management systems while evaluating and implementing future improvements and solutions.Review integration complexities of current and future systems and understand the effects of combining data from different systems.Design, build, and manage data pipelines to ingest, transform, and distribute master data between enterprise systems and Azure destinations.Write complex system queries into operational systems to extract datasets that meet master data source ingestion requirements.Employ programming languages like Java and Python in relation to enhancing master data applications.We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, 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 Human Resources Request Form. The EEOC "Know Your Rights" Poster is available here. 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 06, 2026

Santa Barbara, CA

|

Data Warehousing

|

Contract

|

$56 - $70 (hourly estimate)

{"JobID":503245,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-119.77,"Longitude":34.43,"Distance":null},"State":"California","Zip":"93110","ReferenceID":"SFR-4082c16d-6df1-454a-aff2-3ce35bb1314c","PostedDate":"\/Date(1772759937000)\/","Description":"We are seeking an experienced Senior Data Engineer with deep expertise in health plan / managed care environments to design, develop, and maintain enterprise-grade data solutions. This role will support critical healthcare operations and analytics by working with QNXT replicated databases, Oracle platforms, and complex SQL-based data transformations in a Unix/Linux environment.The ideal candidate has hands-on experience supporting payer systems, understands healthcare data models (claims, eligibility, providers, members), and can work independently in a highly regulated environment.Key ResponsibilitiesDesign, develop, and optimize scalable data pipelines and data models supporting healthcare and managed care use casesWork extensively with Oracle databases, including performance tuning, query optimization, and data integrity managementDevelop and maintain complex SQL, PL/SQL, and T-SQL scripts, procedures, functions, and packagesSupport and manage data extracted from QNXT replicated databases, ensuring accuracy, timeliness, and reliabilityCollaborate with business, analytics, and reporting teams to translate health plan requirements into technical solutionsPerform root-cause analysis and resolve data quality, performance, and integration issuesOperate within Unix/Linux environments, including scripting, scheduling, and job monitoringEnsure compliance with healthcare data governance, security, and regulatory standards (HIPAA, PHI handling)Provide technical guidance and mentorship to junior engineers as neededWe 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":"Sr. Data Engineer","City":"Santa Barbara","ExpirationDate":null,"PriorityOrder":0,"Requirements":"7+ years of experience as a Data Engineer or similar roleStrong health plan / managed care experience Hands-on experience with QNXT replicated databasesAdvanced expertise in Oracle database developmentStrong proficiency in SQL and PL/SQL / T-SQLExperience working in Unix/Linux environmentsDeep understanding of healthcare data domains (claims, membership, providers, benefits)Ability to work independently in a fast-paced, highly regulated environment","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":70.0000,"SalaryLow":56.0000,"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 an experienced Senior Data Engineer with deep expertise in health plan / managed care environments to design, develop, and maintain enterprise-grade data solutions. This role will... support critical healthcare operations and analytics by working with QNXT replicated databases, Oracle platforms, and complex SQL-based data transformations in a Unix/Linux environment.The ideal candidate has hands-on experience supporting payer systems, understands healthcare data models (claims, eligibility, providers, members), and can work independently in a highly regulated environment.Key ResponsibilitiesDesign, develop, and optimize scalable data pipelines and data models supporting healthcare and managed care use casesWork extensively with Oracle databases, including performance tuning, query optimization, and data integrity managementDevelop and maintain complex SQL, PL/SQL, and T-SQL scripts, procedures, functions, and packagesSupport and manage data extracted from QNXT replicated databases, ensuring accuracy, timeliness, and reliabilityCollaborate with business, analytics, and reporting teams to translate health plan requirements into technical solutionsPerform root-cause analysis and resolve data quality, performance, and integration issuesOperate within Unix/Linux environments, including scripting, scheduling, and job monitoringEnsure compliance with healthcare data governance, security, and regulatory standards (HIPAA, PHI handling)Provide technical guidance and mentorship to junior engineers as neededWe 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 09, 2026

Charlotte, NC

|

Data Warehousing

|

Contract

|

$48 - $60 (hourly estimate)

{"JobID":517133,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-80.83,"Longitude":35.19,"Distance":null},"State":"North Carolina","Zip":"28203","ReferenceID":"CLT-17963fb8-8a9c-4262-9465-399a55c6d154","PostedDate":"\/Date(1775757428000)\/","Description":"Insight Global is looking for an AWS Data Engineer to join one of our financial clients and help with an ongoing project. This resource will be responsible to helping unify store data in order to unify legacy systems across various lines of businesses. This resource should have an ETL background with a strong focus on data engineering, specifically with AWS. Candidates will be responsible for working independently creating code, testing AWS pipelines, running through and managing requirements, data analysis and helping to enhance existing models.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":"AWS Data Engineer","City":"Charlotte","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?8+ years experience ?3+ years with AWS (setting up pipelines, using resources, etc.)?Background in ETL (ab initio, talend, AWS Glue, etc)?Pyspark?Object oriented programming?AI experience (understanding of agents and how to use then)?Advanced SQL experience (multi-joins, complex queries, profiling and summarizing data, etc.)?Strong data analysis knowledge and running through requirements?Understanding of data and how to create and analysis from looking at the data within SQL?Understanding of the relationship, summarizing and profiling data within SQL?Proven problem solving experience","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":60.0000,"SalaryLow":48.0000,"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 an AWS Data Engineer to join one of our financial clients and help with an ongoing project. This resource will be responsible to helping unify store data in order to... unify legacy systems across various lines of businesses. This resource should have an ETL background with a strong focus on data engineering, specifically with AWS. Candidates will be responsible for working independently creating code, testing AWS pipelines, running through and managing requirements, data analysis and helping to enhance existing models.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/.

May 18, 2026

Tampa, FL

|

Data Warehousing

|

Contract-to-perm

|

$42 - $52 (hourly estimate)

{"JobID":531414,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-82.48,"Longitude":27.95,"Distance":null},"State":"Florida","Zip":"33607","ReferenceID":"NNJ-6edbd2b9-72bd-493f-82ae-4665ce3447bf","PostedDate":"\/Date(1779122944000)\/","Description":"PGIM Real Estate is seeking an Azure Data Engineer to play a key role in modernizing the firm?s data platform and advancing its data and analytics capabilities. This is a transformational role directly aligned with PGIM Real Estate?s commitment to leveraging data, analytics, and technology to proactively address business challenges and unlock new opportunities.The Data Engineer will be responsible for supporting and enhancing existing ETL processes for the on- prem data lake (PostgreSQL) while leading the evolution and migration of these processes to Microsoft Fabric. This role will focus heavily on developing and maintaining SQL-based transformation logic to ensure high quality, trusted, and analytics ready data.Working closely with the Data Management team, the Data Engineer will help identify, remediate, and prevent data quality issues by encoding validation rules and controls directly into data pipelines. The role will also contribute to the evaluation and implementation of tools and frameworks supporting data governance, architecture, and data quality as the platform continues to evolve.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":"Jr Python Data Engineer","City":"Tampa","ExpirationDate":null,"PriorityOrder":0,"Requirements":"- 3+ years of experience in a data engineering or analytics engineering role- Strong hands-on experience with SQL, including complex transformations, performance tuning, and data modeling- Strong Python scripting experience for data transformation projects- Experience supporting ETL pipelines in an on prem or hybrid data lake environment- Experience migrating or modernizing data platforms to Azure and/or Microsoft Fabric (Lakehouse, Pipelines, or related services)- Refactor and migrate data ingestion, transformation, and orchestration processes to Microsoft Fabric using modern cloud-native patterns.- Bachelor?s degree required","Skills":"PostgreSQL strongly preferred","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":52.0000,"SalaryLow":41.6000,"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)\/"}

PGIM Real Estate is seeking an Azure Data Engineer to play a key role in modernizing the firm?s data platform and advancing its data and analytics capabilities. This is a transformational role... directly aligned with PGIM Real Estate?s commitment to leveraging data, analytics, and technology to proactively address business challenges and unlock new opportunities.The Data Engineer will be responsible for supporting and enhancing existing ETL processes for the on- prem data lake (PostgreSQL) while leading the evolution and migration of these processes to Microsoft Fabric. This role will focus heavily on developing and maintaining SQL-based transformation logic to ensure high quality, trusted, and analytics ready data.Working closely with the Data Management team, the Data Engineer will help identify, remediate, and prevent data quality issues by encoding validation rules and controls directly into data pipelines. The role will also contribute to the evaluation and implementation of tools and frameworks supporting data governance, architecture, and data quality as the platform continues to evolve.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 03, 2026

Dallas, TX

|

Data Warehousing

|

Contract

|

$68 - $85 (hourly estimate)

{"JobID":537190,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-96.76,"Longitude":32.79,"Distance":null},"State":"Texas","Zip":"75201","ReferenceID":"DAL-985ff064-45fc-4357-b76d-f45428348bf4","PostedDate":"\/Date(1780494699000)\/","Description":"Insight Global is seeking a Sr. Data Engineer to partner with our client\u0027s Lead Data Architect in designing, scaling, and managing a modern enterprise analytical data warehouse. This role is ideal for a hands-on professional who can bridge business requirements with technical solutions, helping to build a cloud-native, high-performance data platform supporting BI, analytics, and emerging AI use cases. Key Responsibilities include: Data Architecture \u0026 Engineering-Design and implement dimensional data models (Kimball/star schema) to support enterprise reporting and analytics -Build and optimize ETL/ELT pipelines using modern cloud platforms (Azure Synapse, Microsoft Fabric, Data Factory, etc.) -Contribute to Lakehouse and medallion architectures (Bronze/Silver/Gold) for scalable data processing -Improve performance, scalability, and reliability across large datasets and analytic workloads-Support development of semantic data layers (Power BI / SSAS) and enterprise reporting frameworks Platform Governance \u0026 Integration-Apply and maintain data governance, lineage, and security standards (e.g., RBAC, PII protection, auditability) -Integrate data from multiple enterprise sources (databases, APIs, cloud storage, external systems) -Contribute to establishing architecture standards, reusable patterns, and best practicesCollaboration \u0026 Delivery-Partner with the Lead Data Architect and stakeholders to translate business needs into scalable solutions-Work closely with data engineers, BI developers, and analysts to deliver end-to-end analytics solutions-Participate in architecture design sessions, code reviews, and solution validation-Promote engineering best practices, documentation, and knowledge sharing within the teamWe 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":"Sr. Data Engineer","City":"Dallas","ExpirationDate":null,"PriorityOrder":0,"Requirements":"-8+ years of experience in data engineering-Experience contributing to data design/architecture-Data Warehousing experience -Strong experience with data modeling (dimensional/Kimball) and enterprise data warehouse design -Hands-on experience with Azure data ecosystem (Synapse, Data Factory, Data Lake, SQL) -Experience building and maintaining ETL/ELT pipelines and data integration workflows -Proficiency in SQL and data transformation tools-Experience with BI tools such as Power BI or SSAS -Exposure to AI/ML-enabled data platforms or advanced analytics workflows -Strong ability to translate business requirements into scalable data solutions -Hands-on builder experience with an ownership mindset and attention to detail-Collaborative team player who thrives in a cross-functional, fast-paced environment","Skills":"-Experience with Microsoft Fabric or modern Lakehouse architectures -Familiarity with DevOps practices (CI/CD, version control) -Understanding of data governance tools and frameworks (e.g., lineage, cataloging)","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)\/"}

Insight Global is seeking a Sr. Data Engineer to partner with our client's Lead Data Architect in designing, scaling, and managing a modern enterprise analytical data warehouse. This role is ideal... for a hands-on professional who can bridge business requirements with technical solutions, helping to build a cloud-native, high-performance data platform supporting BI, analytics, and emerging AI use cases. Key Responsibilities include: Data Architecture & Engineering-Design and implement dimensional data models (Kimball/star schema) to support enterprise reporting and analytics -Build and optimize ETL/ELT pipelines using modern cloud platforms (Azure Synapse, Microsoft Fabric, Data Factory, etc.) -Contribute to Lakehouse and medallion architectures (Bronze/Silver/Gold) for scalable data processing -Improve performance, scalability, and reliability across large datasets and analytic workloads-Support development of semantic data layers (Power BI / SSAS) and enterprise reporting frameworks Platform Governance & Integration-Apply and maintain data governance, lineage, and security standards (e.g., RBAC, PII protection, auditability) -Integrate data from multiple enterprise sources (databases, APIs, cloud storage, external systems) -Contribute to establishing architecture standards, reusable patterns, and best practicesCollaboration & Delivery-Partner with the Lead Data Architect and stakeholders to translate business needs into scalable solutions-Work closely with data engineers, BI developers, and analysts to deliver end-to-end analytics solutions-Participate in architecture design sessions, code reviews, and solution validation-Promote engineering best practices, documentation, and knowledge sharing within the teamWe 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 08, 2026

Charlotte, NC

|

Data Warehousing

|

Contract

|

$52 - $65 (hourly estimate)

{"JobID":516368,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-80.83,"Longitude":35.19,"Distance":null},"State":"North Carolina","Zip":"28203","ReferenceID":"CLT-bdaa9dde-5ca5-43c9-b86d-2388a9a24a7c","PostedDate":"\/Date(1775650566000)\/","Description":"Insight Global is looking for an AWS Data Engineer to join one of our financial clients and help with an ongoing project. This resource will be responsible to helping unify store data in order to unify legacy systems across various lines of businesses. This resource should have an ETL background with a strong focus on data engineering, specifically with AWS. Candidates will be responsible for working independently creating code, testing AWS pipelines, running through and managing requirements, data analysis and helping to enhance existing models.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":"AWS Data Engineer","City":"Charlotte","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?12+ years experience ?6+ years with Data Engineering?4+ years with AWS (setting up pipelines, using resources, etc.)?Background in ETL (ab initio, talend, AWS Glue, etc)?Pyspark?Object oriented programming?AI experience (understanding of agents and how to use then)?Advanced SQL experience (multi-joins, complex queries, profiling and summarizing data, etc.)?Strong data analysis knowledge and running through requirements?Understanding of data and how to create and analysis from looking at the data within SQL?Understanding of the relationship, summarizing and profiling data within SQL?Proven problem solving experience","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":65.0000,"SalaryLow":52.0000,"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 an AWS Data Engineer to join one of our financial clients and help with an ongoing project. This resource will be responsible to helping unify store data in order to... unify legacy systems across various lines of businesses. This resource should have an ETL background with a strong focus on data engineering, specifically with AWS. Candidates will be responsible for working independently creating code, testing AWS pipelines, running through and managing requirements, data analysis and helping to enhance existing models.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/.

May 19, 2026

San Francisco, CA

|

Data Warehousing

|

Contract

|

$67 - $84 (hourly estimate)

{"JobID":531690,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-122.41,"Longitude":37.74,"Distance":null},"State":"California","Zip":"94110","ReferenceID":"AUS-f66dba23-1856-438f-8835-c122e395fea6","PostedDate":"\/Date(1779160999000)\/","Description":"An employer is seeking a Senior Data Engineer to support the Data Strategy \u0026 Operations function. This role will focus on building and managing scalable data integration patterns into Data 360, onboarding third-party data providers, and ensuring reliable ingestion, transformation, and distribution of data across the organization.The ideal candidate will combine strong technical expertise in modern data engineering stacks with hands-on experience building and maintaining production-grade pipelines in a fast-paced environment.He or she will be responsible for:Design and deliver new data integrations from third-party data providers into Data 360Manage and enhance existing ingestion pipelines to support new datasets and evolving business needsDevelop and maintain data egress patterns to distribute data outputs to multiple downstream systems and platformsMonitor, maintain, and troubleshoot batch and real-time data pipelines to ensure reliability and performanceTrack and report key ingestion KPIs including data volume, number of streams, pipeline health, and throughput metricsCollaborate closely with Product, Data Science, and Analytics teams to support data-driven initiativesEnsure data quality, integrity, and availability across all pipelines and integrationsThis role is fully remote with the preference being located with PST or CST time zone preference.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":"Sr Data Engineer - REMOTE","City":"San Francisco","ExpirationDate":null,"PriorityOrder":0,"Requirements":"5+ years of experience in data engineering and ETL developmentStrong experience with Informatica (preferred) or similar ETL toolsHands-on experience with Airflow for orchestration and MuleSoft for integrationsAdvanced SQL skills with Snowflake and other relational databasesProven experience building batch and real-time data pipelinesStrong experience writing Python modules for custom ETL workflowsExperience with dbt for data transformation and modelingSolid understanding of data modeling, data warehousing, and big data processing frameworksExperience with data quality, monitoring, and pipeline orchestration frameworksFamiliarity with AWS and/or GCP environmentsExperience working with distributed and event-driven architectures","Skills":"Experience working with Salesforce platforms and data modelsExposure to Salesforce Flows and ApexExperience integrating with third-party data vendors and APIs","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":84.0000,"SalaryLow":67.2000,"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)\/"}

An employer is seeking a Senior Data Engineer to support the Data Strategy & Operations function. This role will focus on building and managing scalable data integration patterns into Data 360,... onboarding third-party data providers, and ensuring reliable ingestion, transformation, and distribution of data across the organization.The ideal candidate will combine strong technical expertise in modern data engineering stacks with hands-on experience building and maintaining production-grade pipelines in a fast-paced environment.He or she will be responsible for:Design and deliver new data integrations from third-party data providers into Data 360Manage and enhance existing ingestion pipelines to support new datasets and evolving business needsDevelop and maintain data egress patterns to distribute data outputs to multiple downstream systems and platformsMonitor, maintain, and troubleshoot batch and real-time data pipelines to ensure reliability and performanceTrack and report key ingestion KPIs including data volume, number of streams, pipeline health, and throughput metricsCollaborate closely with Product, Data Science, and Analytics teams to support data-driven initiativesEnsure data quality, integrity, and availability across all pipelines and integrationsThis role is fully remote with the preference being located with PST or CST time zone preference.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/.

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