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Apr 10, 2026

Columbus, OH

|

Data Warehousing

|

Contract-to-perm

|

$46 - $57 (hourly estimate)

{"JobID":517636,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-82.98,"Longitude":39.98,"Distance":null},"State":"Ohio","Zip":"43219","ReferenceID":"COL-dfdd1462-8a6c-470c-83c0-290851dd790c","PostedDate":"\/Date(1775847965000)\/","Description":"A client of Insight Global is looking for a Senior Data Scientist to join their team. This individual will participate in all phases of the data and analytics lifecycle, including specifying data capture requirements, analyzing patterns and trends in structured and unstructured data to provide insights on projects that span all facets of the Enterprise. Take these finding and synthesize them into dashboards or presentations that convey insights and recommendations through storytelling, while maintaining a balance between the big picture and mastery of details.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 Scientist","City":"Columbus","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Direct experience with SQL programming and large database applications such as Oracle, DB2, SQL Server, SPSS, Teradata, and Hadoop? In lieu of a Master\u0027s degree, a Bachelor\u0027s degree with a minimum of 5 years work experience in analytics or data science? Master\u0027s degree in Decision Sciences, Statistics, Applied Mathematics, Engineering, Computer Science or Information Systems, Operations Research, or a STEM degree AND a minimum of 3 years of work experience in analytics or data science. If candidate has a PhD, no work experience is required.","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":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)\/"}

A client of Insight Global is looking for a Senior Data Scientist to join their team. This individual will participate in all phases of the data and analytics lifecycle, including specifying data... capture requirements, analyzing patterns and trends in structured and unstructured data to provide insights on projects that span all facets of the Enterprise. Take these finding and synthesize them into dashboards or presentations that convey insights and recommendations through storytelling, while maintaining a balance between the big picture and mastery of details.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 20, 2026

Atlanta, GA

|

Data Warehousing

|

Contract-to-perm

|

$10 - $12 (hourly estimate)

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?Design and implement scalable, secure, and high-performance data engineering frameworks?Build and maintain ETL/ELT pipelines to support data ingestion, transformation, and integration?Leverage... Snowflake features (Snowpipe, Streams & Tasks, Native Apps) and DBT for building scalable, enterprise-grade data solutions across ingestion, transformation, and orchestration?Optimize Synapse SQL Dedicated Pools to enhance BI performance?Build data pipelines that seamlessly connect to reporting platforms such as Tableau and Power BI, enabling interactive and timely business insights?Ensure data accuracy and integrity through validation checks, lineage tracking, and quality monitoring?Tune workflows for performance and cost-efficiency at scalePay Rate: $10.00-$14.00 an hour depending on skills and experienceWe 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/.

Oct 11, 2022

Charlotte, NC

|

Data Warehousing

|

Contract

|

$44 - $55 (hourly estimate)

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Job Description: Lead complex technology initiatives including those that are companywide with broad impact. Act as a key participant in developing standards and companywide best practices for... engineering complex and large scale technology solutions for technology engineering disciplines. Design, code, test, debug, and document for projects and programs. Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors. Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives. Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals. Lead projects, teams, or serve as a peer mentor. 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/ .

Feb 24, 2026

Los Angeles, CA

|

Data Warehousing

|

Contract

|

$64 - $80 (hourly estimate)

{"JobID":498536,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-118.4,"Longitude":33.95,"Distance":null},"State":"California","Zip":"90045","ReferenceID":"LAX-9123f169-e091-42c0-8b37-bda93cba066d","PostedDate":"\/Date(1771893705000)\/","Description":"Our leading entertainment client is expanding their data team and seeking a Data Engineer with deep expertise in GCP, Big Data, Python, SQL, DBT, and ERD architecture. This cross-functional team operates across three core areas: AI/ML, Data Engineering, and Data Analytics.? Collaborate with stakeholders across subscription, viewership, marketing, paid media, CRM, and more. ? Support data visualization initiatives and ensure data is accessible and actionable.? Work in a highly collaborative environment that values fast learners and team players. Spend approximately 80% of your time in hands-on development using Python and SQL.Team Dynamic:Data Analytics Engineering (Approx. 80% of time) - Primary Focus: Analyze and maintain data pipelines, conduct root-cause analysis to resolve data-related issues, and create data models leveraging DBT and Medallion architecture.Tools \u0026 Skills: ? Proficient in Python and SQL for pipeline development. ? Initially focused on learning and maintaining existing pipelines, with a gradual transition to building new ones. Mindset: Business-oriented with a strong analytical approach. AI/ML Initiatives (Approx. 5% of time) Objective: Support AI and machine learning efforts using modern platforms such as Vertex AI. Scope: Limited involvement, primarily assisting with existing initiatives and tools. Data Engineering (Approx. 15% of time) Responsibilities: Design and implement scalable data models, pipelines, and architecture.Technical Stack: Heavy use of Python and SQL to ensure robust and efficient data infrastructure.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":"GCP Data Engineer/Architect","City":"Los Angeles","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? 10+ years in a Data Architect role, with a strong focus on data modeling in Big Data environments (100TB+).? Advanced proficiency in Python and SQL for data mining, pipeline development, segmentation, and orchestration.? Deep experience with GCP, including BigQuery, GCS Buckets, IAM, Google Cloud Storage (GCS), Cloud Function, Composer, and VertexAI.? Proven ability to analyze and troubleshoot complex data pipelines through root-cause analysis.? Hands-on experience using DBT for data modeling and transformation workflows.Strong understanding and application of ERD architecture in enterprise data systems.","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":80.0000,"SalaryLow":64.0000,"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)\/"}

Our leading entertainment client is expanding their data team and seeking a Data Engineer with deep expertise in GCP, Big Data, Python, SQL, DBT, and ERD architecture. This cross-functional team... operates across three core areas: AI/ML, Data Engineering, and Data Analytics.? Collaborate with stakeholders across subscription, viewership, marketing, paid media, CRM, and more. ? Support data visualization initiatives and ensure data is accessible and actionable.? Work in a highly collaborative environment that values fast learners and team players. Spend approximately 80% of your time in hands-on development using Python and SQL.Team Dynamic:Data Analytics Engineering (Approx. 80% of time) - Primary Focus: Analyze and maintain data pipelines, conduct root-cause analysis to resolve data-related issues, and create data models leveraging DBT and Medallion architecture.Tools & Skills: ? Proficient in Python and SQL for pipeline development. ? Initially focused on learning and maintaining existing pipelines, with a gradual transition to building new ones. Mindset: Business-oriented with a strong analytical approach. AI/ML Initiatives (Approx. 5% of time) Objective: Support AI and machine learning efforts using modern platforms such as Vertex AI. Scope: Limited involvement, primarily assisting with existing initiatives and tools. Data Engineering (Approx. 15% of time) Responsibilities: Design and implement scalable data models, pipelines, and architecture.Technical Stack: Heavy use of Python and SQL to ensure robust and efficient data infrastructure.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/.

Jan 22, 2026

Portland, OR

|

Data Warehousing

|

Contract-to-perm

|

$40 - $50 (hourly estimate)

{"JobID":485880,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-122.73,"Longitude":45.55,"Distance":null},"State":"Oregon","Zip":"97210","ReferenceID":"POR-ac12c7f7-8c8a-4604-8e96-641d236112e0","PostedDate":"\/Date(1769121035000)\/","Description":"JDevelop, deploy, and maintain scalable machine learning models and analytical workflows using Databricks, Apache Spark, and cloud-based data platforms.Partner with financial domain stakeholders to understand business challenges related to risk, compliance, fraud, lending, investments, and customer analytics.Perform hands-on data exploration, feature engineering, statistical analysis, and modeling using Python, SQL, and Spark.Collaborate with data engineering teams to build reliable data pipelines and ensure high-quality, production-ready datasets.Communicate complex technical findings to non-technical audiences; present actionable insights to business leaders.Apply deep financial services expertise to ensure models meet regulatory expectations (e.g., model documentation, audit, transparency, fairness).Optimize workflows for performance and cost efficiency within Databricks and cloud environments.Design experiments and evaluate model performance using best practices in ML Ops, version control, and reproducibility.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 Scientist","City":"Portland","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Bachelor?s or Master?s degree in Data Science, Computer Science, Statistics, Math, Engineering, or related field.3+ years of experience as a Data Scientist, preferably within banks, credit unions, fintech, or other financial institutions.Hands-on experience with Databricks, Apache Spark, and cloud ecosystems (Azure, AWS, or GCP).Strong proficiency in Python, SQL, and common ML frameworks (scikit-learn, PyTorch, TensorFlow, etc.).Deep understanding of financial data structures, regulatory requirements, and industry workflows.Experience building, deploying, and monitoring machine learning models in production environments.Ability to translate business problems into data-driven solutions with measurable impact.","Skills":"Experience with ML Ops tools (MLflow, Azure DevOps, Databricks Repos, CI/CD pipelines).Familiarity with risk scoring, fraud detection, AML/KYC analytics, credit modeling, or customer segmentation.Knowledge of distributed systems, big data engineering, and scalable architecture design.Strong communication and stakeholder management skills in financial environments.","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":50.0000,"SalaryLow":40.0000,"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)\/"}

JDevelop, deploy, and maintain scalable machine learning models and analytical workflows using Databricks, Apache Spark, and cloud-based data platforms.Partner with financial domain stakeholders to... understand business challenges related to risk, compliance, fraud, lending, investments, and customer analytics.Perform hands-on data exploration, feature engineering, statistical analysis, and modeling using Python, SQL, and Spark.Collaborate with data engineering teams to build reliable data pipelines and ensure high-quality, production-ready datasets.Communicate complex technical findings to non-technical audiences; present actionable insights to business leaders.Apply deep financial services expertise to ensure models meet regulatory expectations (e.g., model documentation, audit, transparency, fairness).Optimize workflows for performance and cost efficiency within Databricks and cloud environments.Design experiments and evaluate model performance using best practices in ML Ops, version control, and reproducibility.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/.

Nov 10, 2022

Seattle, WA

|

Data Warehousing

|

Contract

|

$78 - $98 (hourly estimate)

{"JobID":239477,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-122.317454545455,"Longitude":47.6041818181818,"Distance":null},"State":"Washington","Zip":"98104","ReferenceID":"SEA-e510e020-6b9f-4ccc-9142-e0e85fc38139","PostedDate":"\/Date(1668118443000)\/","Description":"An employer is looking for a Sr. Data Engineer in the Seattle, WA area. This entertainment company is looking for a Sr. Data Engineer to join their consumer business division. They are dealing with large amounts of television and digital data around their customers. This person will be responsible for their Data Warehouse as they evolve into a more cloud based environment. Someone with AWS and Snowflake experience would be a standout candidate. However, if you have an expertise in Python for developing ETL pipelines, data warehousing, and some cloud experience, this could be a fit for you. This group is looking for a team player who\u0027s interested in learning new technologies in an evolving organization. If this sounds like you, please apply today!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":"Data Analyst","City":"Seattle","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Experience building robust and scalable data integration (ETL) pipelines using Airflow, SQL, Python.Experience in data modeling, ETL development, and Data warehousing.Data Warehousing Experience with RedshiftExperience building data products incrementally and integrating and managing datasets from multiple sources.Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.) such as S3, EC2, and EMR (Spark) etc. Preferred QualificationsExperience working in AWS environment preferably AWS Certification completed.Software engineering mindset and strive to write elegant, maintainable code and you\u0027re comfortable working in a variety of tech stacksPractical Knowledge of Linux or Unix shell scripting Strong sense of ownership, urgency, and drive","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":97.5000,"SalaryLow":78.0000,"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 employer is looking for a Sr. Data Engineer in the Seattle, WA area. This entertainment company is looking for a Sr. Data Engineer to join their consumer business division. They are dealing with... large amounts of television and digital data around their customers. This person will be responsible for their Data Warehouse as they evolve into a more cloud based environment. Someone with AWS and Snowflake experience would be a standout candidate. However, if you have an expertise in Python for developing ETL pipelines, data warehousing, and some cloud experience, this could be a fit for you. This group is looking for a team player who's interested in learning new technologies in an evolving organization. If this sounds like you, please apply today!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/ .

Feb 10, 2026

Toronto, ON

|

Architect (Engineering)

|

Contract

|

$50 - $62 (hourly estimate)

{"JobID":493128,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":0,"Longitude":0,"Distance":null},"State":"Ontario","Zip":"M5J 0","ReferenceID":"TOR-e46f439d-276e-402c-a61f-6a94d91fe99f","PostedDate":"\/Date(1770754793000)\/","Description":"The Data Engineer is responsible for architecting, developing, and maintaining enterprise-scale data platforms that support analytics, operational reporting, and machine learning initiatives. This role requires deep technical expertise in distributed systems, cloud platforms, and data modeling, combined with strong communication and leadership capabilities.Design and implement large-scale ETL/ELT pipelines using Python, Spark, and distributed processing frameworksDevelop and maintain big data infrastructure leveraging Hadoop, Spark, Kafka, and Kafka StreamsArchitect cloud-native data solutions on AWS or Azure, including serverless componentsBuild and optimize Snowflake data warehouses using dimensional modeling best practicesConduct data discovery and source analysis to support new integrations and transformationsModel complex datasets using normalized, denormalized, star, and snowflake schemasIntegrate external systems through RESTful APIs and automated ingestion frameworksImplement DevOps practices including CI/CD, containerization, and orchestrationDevelop real-time streaming applications using Kafka, Storm, Kinesis, or Pub/SubOperationalize machine learning models in collaboration with data science teamsOptimize performance across queries, pipelines, and distributed workloadsTroubleshoot and resolve complex data issues across upstream and downstream systemsMaintain comprehensive documentation for data pipelines, models, and integrationsWe 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":"Toronto","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Expertise in big data technologies (Hadoop, Spark, Kafka)Advanced SQL proficiency for investigation and optimizationStrong Python development skillsExperience with cloud platforms (AWS or Azure)Knowledge of Snowflake and dimensional modelingExperience with DevOps tooling (CI/CD, Docker, Kubernetes)Familiarity with ML frameworks (TensorFlow, PyTorch)Strong debugging and analytical skills","Skills":"Leadership and mentorshipEffective communication with technical and non-technical audiencesProblem-solving and critical thinkingOwnership and accountabilityAdaptability and continuous learning","Industry":"Architect (Engineering)","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":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)\/"}

The Data Engineer is responsible for architecting, developing, and maintaining enterprise-scale data platforms that support analytics, operational reporting, and machine learning initiatives. This... role requires deep technical expertise in distributed systems, cloud platforms, and data modeling, combined with strong communication and leadership capabilities.Design and implement large-scale ETL/ELT pipelines using Python, Spark, and distributed processing frameworksDevelop and maintain big data infrastructure leveraging Hadoop, Spark, Kafka, and Kafka StreamsArchitect cloud-native data solutions on AWS or Azure, including serverless componentsBuild and optimize Snowflake data warehouses using dimensional modeling best practicesConduct data discovery and source analysis to support new integrations and transformationsModel complex datasets using normalized, denormalized, star, and snowflake schemasIntegrate external systems through RESTful APIs and automated ingestion frameworksImplement DevOps practices including CI/CD, containerization, and orchestrationDevelop real-time streaming applications using Kafka, Storm, Kinesis, or Pub/SubOperationalize machine learning models in collaboration with data science teamsOptimize performance across queries, pipelines, and distributed workloadsTroubleshoot and resolve complex data issues across upstream and downstream systemsMaintain comprehensive documentation for data pipelines, models, and integrationsWe 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

Urbandale, IA

|

Data Warehousing

|

Contract

|

$52 - $65 (hourly estimate)

{"JobID":501457,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-93.74,"Longitude":41.63,"Distance":null},"State":"Iowa","Zip":"50322","ReferenceID":"DSM-5845e510-1bff-467f-9737-cbc40eb06eda","PostedDate":"\/Date(1772490111000)\/","Description":"The Senior Data Scientist will play a pivotal role in driving data-driven decision-making processes and developing advanced analytical models. This may involve leading or participating in cross functional/operating units? collaborations to define and develop applications of Artificial Intelligence and Machine Learning towards solving insurance problems. Building, refining, and improving existing models as well as developing new techniques and applications to different areas of insurance. The role requires a blend of strong technical expertise, statistical analysis, software engineering and a deep understanding of the insurance industry.? Collaborate with cross functional teams, including Actuaries, Underwriters, Product Managers to identify and define data science initiatives aligned with BRSS business goals and strategy.? Develop predictive models to assess risks and loss probabilities, enabling effective underwriting decisions and pricing strategies.? Utilize Machine Learning algorithms and statistical methods to analyze insurance trends, customer behaviors and market dynamics.? Design and implement experiments to test hypotheses and provide intuitive solutions to what happened, when, where and why, using data to enhance customer retention and profitable growth.? Create visualizations, dashboards, and slide decks to effectively communicate complex findings to non-technical stakeholders.? Conduct exploratory data analysis to identify patterns, anomalies, and opportunities for process improvements.? Collaborate with data engineers to develop data pipelines and integrate data sources ensuring data quality and integrity.? Build platforms and applications to accelerate data science operations including Model Monitoring and improve process efficiencies of business workflows.? Stay abreast of industry trends, emerging technologies and best practices in data science and insurance analytics.Pay rate ranges $55/hr - $65/hrWe 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":"Actuarial Data Scientist","City":"Urbandale","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? Experience in the Property \u0026 Casualty Insurance Industry ? 3+ years of experience as a Data Scientist or Actuary? Developing pricing models and/or predictive/prescriptive models ? Proficiency in programming languages Python or R? Experience with SQL","Skills":"? Experience building web applications (R Shiny/ Dash) as a workflow integration product. ? Experience with at least one big data technologies platform (Apache Spark, Snowflake, cloud-based platforms ? Microsoft Azure, AWS etc.)? Understanding of NLP \u0026 Large Language models with insights on potential business applications in insurance. Experience in leading a statistical/actuarial based analytical project.","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)\/"}

The Senior Data Scientist will play a pivotal role in driving data-driven decision-making processes and developing advanced analytical models. This may involve leading or participating in cross... functional/operating units? collaborations to define and develop applications of Artificial Intelligence and Machine Learning towards solving insurance problems. Building, refining, and improving existing models as well as developing new techniques and applications to different areas of insurance. The role requires a blend of strong technical expertise, statistical analysis, software engineering and a deep understanding of the insurance industry.? Collaborate with cross functional teams, including Actuaries, Underwriters, Product Managers to identify and define data science initiatives aligned with BRSS business goals and strategy.? Develop predictive models to assess risks and loss probabilities, enabling effective underwriting decisions and pricing strategies.? Utilize Machine Learning algorithms and statistical methods to analyze insurance trends, customer behaviors and market dynamics.? Design and implement experiments to test hypotheses and provide intuitive solutions to what happened, when, where and why, using data to enhance customer retention and profitable growth.? Create visualizations, dashboards, and slide decks to effectively communicate complex findings to non-technical stakeholders.? Conduct exploratory data analysis to identify patterns, anomalies, and opportunities for process improvements.? Collaborate with data engineers to develop data pipelines and integrate data sources ensuring data quality and integrity.? Build platforms and applications to accelerate data science operations including Model Monitoring and improve process efficiencies of business workflows.? Stay abreast of industry trends, emerging technologies and best practices in data science and insurance analytics.Pay rate ranges $55/hr - $65/hrWe 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/.

Jan 09, 2026

Nashville, TN

|

Data Warehousing

|

Contract

|

$27 - $34 (hourly estimate)

{"JobID":481098,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-86.78,"Longitude":36.17,"Distance":null},"State":"Tennessee","Zip":"37215","ReferenceID":"DEN-41eaf3ee-3287-4717-abc1-6b97bfc1a7ba","PostedDate":"\/Date(1767997991000)\/","Description":"A healthcare client of ours is looking for multiple Data Engineers to join their growing team. This team is currently working on a project to modernize on prem SQL warehouses to snowflake. The data warehouse is built, so you will be supporting the build out of data marts on top of their Snowflake enterprise warehouse. This includes lifting and shifting existing data marts, building net new data marts, and further integrations. Additionally, the data engineering team designs, tests, deploys and maintains data pipelines and establishes a strong data reporting environment. This company operates within an AWS environment which is supported by their DevOps team; however, any cloud integration experience could be helpful. This position is currently slated as a 6-month contract, with high likelihood to extend for an additional 6+ months. Furthermore, this org has a large pipeline of project work for the next three years, so continuous extensions are likely. Insight Global offers full benefits while on contract. If you\u0027re interested, apply today!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 / ETL Developer- INTL Brazil","City":"Nashville","ExpirationDate":null,"PriorityOrder":0,"Requirements":"4+ years of data engineering experience - building data warehouses and ETL pipelines3+ years of experience with Snowflake DatawarehouseStrong Python scripting experienceWell versed with data martsStrong understanding of SQL including: SSIS, SSAS, \u0026 SSRS","Skills":"Experience working within the healthcare industry, provider side highly preferredRed Shift database experienceTableau experienceExperience working in an AWS environmentExperience with big data tools: Hadoop, Spark, Kafka","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":34.0000,"SalaryLow":27.2000,"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)\/"}

A healthcare client of ours is looking for multiple Data Engineers to join their growing team. This team is currently working on a project to modernize on prem SQL warehouses to snowflake. The data... warehouse is built, so you will be supporting the build out of data marts on top of their Snowflake enterprise warehouse. This includes lifting and shifting existing data marts, building net new data marts, and further integrations. Additionally, the data engineering team designs, tests, deploys and maintains data pipelines and establishes a strong data reporting environment. This company operates within an AWS environment which is supported by their DevOps team; however, any cloud integration experience could be helpful. This position is currently slated as a 6-month contract, with high likelihood to extend for an additional 6+ months. Furthermore, this org has a large pipeline of project work for the next three years, so continuous extensions are likely. Insight Global offers full benefits while on contract. If you're interested, apply today!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 01, 2026

Nashville, TN

|

Data Warehousing

|

Contract

|

$27 - $34 (hourly estimate)

{"JobID":514092,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-86.78,"Longitude":36.17,"Distance":null},"State":"Tennessee","Zip":"37215","ReferenceID":"DEN-599b86b5-12e1-4036-ac18-d4c612ad1240","PostedDate":"\/Date(1775081847000)\/","Description":"A healthcare client of ours is looking for multiple Data Engineers to join their growing team. This team is currently working on a project to modernize on prem SQL warehouses to snowflake. The data warehouse is built, so you will be supporting the build out of data marts on top of their Snowflake enterprise warehouse. This includes lifting and shifting existing data marts, building net new data marts, and further integrations. Additionally, the data engineering team designs, tests, deploys and maintains data pipelines and establishes a strong data reporting environment. This company operates within an AWS environment which is supported by their DevOps team; however, any cloud integration experience could be helpful. This position is currently slated as a 6-month contract, with high likelihood to extend for an additional 6+ months. Furthermore, this org has a large pipeline of project work for the next three years, so continuous extensions are likely. Insight Global offers full benefits while on contract. If you\u0027re interested, apply today!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 / ETL Developer- INTL Brazil","City":"Nashville","ExpirationDate":null,"PriorityOrder":0,"Requirements":"4+ years of data engineering experience - building data warehouses and ETL pipelines3+ years of experience with Snowflake DatawarehouseStrong Python scripting experienceWell versed with data martsStrong understanding of SQL including: SSIS, SSAS, \u0026 SSRS","Skills":"Experience working within the healthcare industry, provider side highly preferredRed Shift database experienceTableau experienceExperience working in an AWS environmentExperience with big data tools: Hadoop, Spark, Kafka","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":34.0000,"SalaryLow":27.2000,"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)\/"}

A healthcare client of ours is looking for multiple Data Engineers to join their growing team. This team is currently working on a project to modernize on prem SQL warehouses to snowflake. The data... warehouse is built, so you will be supporting the build out of data marts on top of their Snowflake enterprise warehouse. This includes lifting and shifting existing data marts, building net new data marts, and further integrations. Additionally, the data engineering team designs, tests, deploys and maintains data pipelines and establishes a strong data reporting environment. This company operates within an AWS environment which is supported by their DevOps team; however, any cloud integration experience could be helpful. This position is currently slated as a 6-month contract, with high likelihood to extend for an additional 6+ months. Furthermore, this org has a large pipeline of project work for the next three years, so continuous extensions are likely. Insight Global offers full benefits while on contract. If you're interested, apply today!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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