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Jun 03, 2026

Dallas, TX

|

Data Warehousing

|

Contract

|

$68 - $85 (hourly estimate)

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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/.

Mar 20, 2026

Atlanta, GA

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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/.

May 21, 2026

Charlotte, NC

|

Data Warehousing

|

Contract

|

$48 - $60 (hourly estimate)

{"JobID":532764,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-80.83,"Longitude":35.19,"Distance":null},"State":"North Carolina","Zip":"28203","ReferenceID":"CLT-55b9e490-5690-461d-bc36-13daf7e6ec90","PostedDate":"\/Date(1779325388000)\/","Description":"Insight Global is seeking an experienced AWS Data Engineer to support a large-scale initiative for one of our financial services clients. This role will focus on the design, development, and optimization of robust, scalable data pipelines and APIs within a modern cloud-based ecosystem.The ideal candidate brings a strong foundation in AWS, Python, and distributed data processing, and has real-world experience supporting data ingestion, transformation, and consumption across enterprise systems. This position is well-suited for someone who thrives in technically complex environments, enjoys collaborating across teams, and can clearly articulate technical solutions based on hands-on project experience.-Design, develop, and maintain scalable data pipelines leveraging AWS services, including Kafka, Lambda, and Glue-Build and optimize data processing workflows using Python and PySpark to support large-scale data transformation and analytics-Develop and maintain APIs (preferably using FastAPI) to expose data to downstream consumers and applications-Support and enhance data warehouse and data lake architectures, ensuring high standards for data quality, reliability, and performance-Partner with cross-functional teams?including engineering, analytics, and business stakeholders?to gather requirements and translate them into scalable data solutions-Participate in code reviews, contribute to engineering best practices, and support continuous improvement initiatives across the data platformWe 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":"7+ years of professional experience in Data Engineering, with a strong focus on scalable and production-grade data solutions3+ years of hands-on experience working within an AWS cloud environmentDeep technical expertise and hands-on experience with core AWS services, including AWS Glue, DynamoDB, and AWS LambdaProven experience working with Apache Kafka for real-time data streaming and event-driven architecturesStrong background in data domains, data modeling, and analytical problem-solvingDemonstrated experience designing and implementing end-to-end data pipelines, from ingestion through transformation and delivery","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 seeking an experienced AWS Data Engineer to support a large-scale initiative for one of our financial services clients. This role will focus on the design, development, and... optimization of robust, scalable data pipelines and APIs within a modern cloud-based ecosystem.The ideal candidate brings a strong foundation in AWS, Python, and distributed data processing, and has real-world experience supporting data ingestion, transformation, and consumption across enterprise systems. This position is well-suited for someone who thrives in technically complex environments, enjoys collaborating across teams, and can clearly articulate technical solutions based on hands-on project experience.-Design, develop, and maintain scalable data pipelines leveraging AWS services, including Kafka, Lambda, and Glue-Build and optimize data processing workflows using Python and PySpark to support large-scale data transformation and analytics-Develop and maintain APIs (preferably using FastAPI) to expose data to downstream consumers and applications-Support and enhance data warehouse and data lake architectures, ensuring high standards for data quality, reliability, and performance-Partner with cross-functional teams?including engineering, analytics, and business stakeholders?to gather requirements and translate them into scalable data solutions-Participate in code reviews, contribute to engineering best practices, and support continuous improvement initiatives across the data platformWe 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 11, 2026

Cincinnati, OH

|

Data Warehousing

|

Contract

|

$49 - $61 (hourly estimate)

{"JobID":505240,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-84.51,"Longitude":39.09,"Distance":null},"State":"Ohio","Zip":"45227","ReferenceID":"CIN-f16b7d29-5cad-4ee8-8e8f-dcbc0449b6c2","PostedDate":"\/Date(1773238792000)\/","Description":"An employer is looking for an experienced Data Engineer for an on-site, contract opportunity in the Cincinnati, Ohio area. The client is a large bank and the Data Engineer III contract role will support the Principal Data Engineer by developing, testing, and monitoring high quality ETL code for several time sensitive, enterprise level initiatives. The position requires strong technical expertise to deliver efficient, accurate, and scalable data solutions that follow established governance and coding standards. Core responsibilities include building and optimizing ETL pipelines using IBM DataStage, Snowflake, dbt, and MettleCI, with a focus on code quality, data accuracy, and operational reliability. The ideal candidate will be able to rapidly contribute to critical project milestones while maintaining strict adherence to best practices and governance processes.ESSENTIAL DUTIES AND RESPONSIBILITIES: ? Design, build, test, and maintain scalable data management systems and pipelines.? Develop high performance algorithms, predictive models, prototypes, and custom software components to support analytics and data processing needs.? Ensure all data systems adhere to business requirements, governance standards, and industry best practices.? Demonstrated experience with data pipeline testing, including: Unit testing for ETL/ELT components, Integration and regression testing, Data quality and validation frameworks, Automated testing within CI/CD workflows? Integrate new data management tools, engineering technologies, and automation capabilities into existing architectures.? Establish and optimize processes for data modeling, data mining, and data production workflows.? Research and identify new opportunities for leveraging existing data assets.? Utilize a variety of programming languages, integration tools, and platforms to connect systems and enable seamless data flow.? Collaborate closely with cross functional partners, including solution architects, IT teams, and data scientists, to achieve project objectives.? Recommend and implement improvements to enhance data quality, reliability, and performance.? Maintain and update disaster recovery procedures to ensure system resilience.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":"Cincinnati","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? 5+ years? relevant experience? Strong experience building and optimizing ETL pipelines using IBM DataStage, Snowflake, DBT and MettleCI ? Experience with data pipeline testing (unit testing for ETL/ELT components, integration and regression testing, data quality and validation frameworks, automated testing with CICD workflows)? Strong technical expertise to deliver efficient, accurate and scalable data solutions that follow established governance and coding standards ? Strong communication and collaboration skills","Skills":"? Experience in banking or other highly regulated industry","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":61.0000,"SalaryLow":48.8000,"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 an experienced Data Engineer for an on-site, contract opportunity in the Cincinnati, Ohio area. The client is a large bank and the Data Engineer III contract role will... support the Principal Data Engineer by developing, testing, and monitoring high quality ETL code for several time sensitive, enterprise level initiatives. The position requires strong technical expertise to deliver efficient, accurate, and scalable data solutions that follow established governance and coding standards. Core responsibilities include building and optimizing ETL pipelines using IBM DataStage, Snowflake, dbt, and MettleCI, with a focus on code quality, data accuracy, and operational reliability. The ideal candidate will be able to rapidly contribute to critical project milestones while maintaining strict adherence to best practices and governance processes.ESSENTIAL DUTIES AND RESPONSIBILITIES: ? Design, build, test, and maintain scalable data management systems and pipelines.? Develop high performance algorithms, predictive models, prototypes, and custom software components to support analytics and data processing needs.? Ensure all data systems adhere to business requirements, governance standards, and industry best practices.? Demonstrated experience with data pipeline testing, including: Unit testing for ETL/ELT components, Integration and regression testing, Data quality and validation frameworks, Automated testing within CI/CD workflows? Integrate new data management tools, engineering technologies, and automation capabilities into existing architectures.? Establish and optimize processes for data modeling, data mining, and data production workflows.? Research and identify new opportunities for leveraging existing data assets.? Utilize a variety of programming languages, integration tools, and platforms to connect systems and enable seamless data flow.? Collaborate closely with cross functional partners, including solution architects, IT teams, and data scientists, to achieve project objectives.? Recommend and implement improvements to enhance data quality, reliability, and performance.? Maintain and update disaster recovery procedures to ensure system resilience.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 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/.

Apr 14, 2026

Chicago, IL

|

Data Warehousing

|

Contract

|

$18 - $22 (hourly estimate)

{"JobID":518658,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-87.68,"Longitude":41.83,"Distance":null},"State":"Illinois","Zip":"60601","ReferenceID":"CHI-1bf22879-2cf0-4434-8cdf-10578a0df856","PostedDate":"\/Date(1776187867000)\/","Description":"Grant Thornton has established a Data \u0026 Analytics function under the Chief Technology Officer. This team is leading a firm-wide transition to a modern cloud data warehouse built on Snowflake, supporting ongoing acquisitions, global system integrations, and a large-scale ERP rollout.Grant Thornton is hiring three (3) mid-level Data Engineers to support this transformation. The Data Engineer will design, build, and support data pipelines and integrations that move enterprise data into Snowflake and downstream analytics platforms. This role supports large-scale data warehouse migrations, country-by-country global integrations, and continued system onboarding tied to acquisitions.This is a hands-on, delivery-focused role requiring strong SQL and Python skills, experience with modern cloud data platforms, and the ability to collaborate closely with other engineers, analysts, and project teams.Key Responsibilities: ? Design, develop, and maintain ETL/ELT data pipelines, primarily into Snowflake? Integrate data from enterprise systems including Oracle HCM, Dynamics CRM, and ERP platforms (SAP public cloud rollout beginning later this year)? Support ongoing global integrations (Ireland already live; multiple additional countries in progress)? Perform data mapping, transformation, and validation to ensure accuracy, consistency, and usability? Write and optimize complex SQL queries and Python-based data transformations? Support modular data modeling and transformation frameworks (e.g., dbt)? Monitor data pipelines and resolve issues related to performance, data quality, and reliability? Collaborate with data engineers, analysts, and architects as part of a team-based delivery modelContribute to data quality practices and documentation across the data platformWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"REMOTE - India -Data Engineer","City":"Chicago","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? Bachelor?s degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience)? 5+ years of overall experience in data engineering, including experience with: ? Data modeling? ETL/ELT? Data integration? Master data management/entity management? Data quality? Data warehousing? Analytics (prescriptive and predictive)? Business intelligence? Data science? Data governance? Strong hands-on experience with: ? SQL ? Python? Snowflake -Some exposure to data analysis or analytics use cases (working with analysts, supporting reporting)","Skills":"? DBT? Informatica Cloud (CIH, DIH, Data Quality, MDM)? Openflow ? Java and csharp ? SAP or Oracle HCM integration experience Experience in professional services, consulting, or managed services 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":22.0000,"SalaryLow":17.6000,"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)\/"}

Grant Thornton has established a Data & Analytics function under the Chief Technology Officer. This team is leading a firm-wide transition to a modern cloud data warehouse built on Snowflake,... supporting ongoing acquisitions, global system integrations, and a large-scale ERP rollout.Grant Thornton is hiring three (3) mid-level Data Engineers to support this transformation. The Data Engineer will design, build, and support data pipelines and integrations that move enterprise data into Snowflake and downstream analytics platforms. This role supports large-scale data warehouse migrations, country-by-country global integrations, and continued system onboarding tied to acquisitions.This is a hands-on, delivery-focused role requiring strong SQL and Python skills, experience with modern cloud data platforms, and the ability to collaborate closely with other engineers, analysts, and project teams.Key Responsibilities: ? Design, develop, and maintain ETL/ELT data pipelines, primarily into Snowflake? Integrate data from enterprise systems including Oracle HCM, Dynamics CRM, and ERP platforms (SAP public cloud rollout beginning later this year)? Support ongoing global integrations (Ireland already live; multiple additional countries in progress)? Perform data mapping, transformation, and validation to ensure accuracy, consistency, and usability? Write and optimize complex SQL queries and Python-based data transformations? Support modular data modeling and transformation frameworks (e.g., dbt)? Monitor data pipelines and resolve issues related to performance, data quality, and reliability? Collaborate with data engineers, analysts, and architects as part of a team-based delivery modelContribute to data quality practices and documentation across the data platformWe 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 04, 2026

Norfolk, VA

|

Data Warehousing

|

Contract

|

$51 - $64 (hourly estimate)

{"JobID":526139,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-76.28,"Longitude":36.84,"Distance":null},"State":"Virginia","Zip":"23502","ReferenceID":"RIC-b382f84c-608f-4dc4-bb40-f3a864132f89","PostedDate":"\/Date(1777915323000)\/","Description":"-Define and implement data quality rules (completeness, accuracy, consistency, timeliness)-Develop and manage data contracts (schema, required fields, formats, constraints)-Embed data quality checks directly into pipelines using SQL and PySpark-Perform source-to-target validation during onboarding and migration-Identify, analyze, and resolve data quality issues across data layers-Build reusable data validation components and frameworks-Create data quality metrics, reports, and monitoring-Work closely with data engineers to ensure DQ is part of pipeline design, not post-processing-Support governance initiatives including metadata, tagging, and lineage-Pay rate between 50-65/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":"Senior Data Quality Engineer","City":"Norfolk","ExpirationDate":null,"PriorityOrder":0,"Requirements":"-Strong SQL skills (joins, aggregations, window functions)-Basic working knowledge of PySpark / Databricks-Experience with data validation, profiling, and reconciliation-Understanding of ETL/ELT pipelines and data flow-Ability to debug data issues across:-source ? ingestion ? transformation ? output-Experience with data quality frameworks (Great Expectations, Deequ, or similar)-Exposure to data governance tools (Alation, Informatica, DataHub or similar)The right person will be and/or will have:-Someone who can write and implement data quality logic, not just define it-Thinks in data contracts and validation frameworks-Comfortable reading and contributing to pipeline code-Strong debugging mindset and attention to detail-Able to work across engineering and business teams","Skills":"-Understanding of metadata-driven or contract-based pipelines-Experience with file-based ingestion and incremental data loads","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":64.0000,"SalaryLow":51.2000,"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)\/"}

-Define and implement data quality rules (completeness, accuracy, consistency, timeliness)-Develop and manage data contracts (schema, required fields, formats, constraints)-Embed data quality checks... directly into pipelines using SQL and PySpark-Perform source-to-target validation during onboarding and migration-Identify, analyze, and resolve data quality issues across data layers-Build reusable data validation components and frameworks-Create data quality metrics, reports, and monitoring-Work closely with data engineers to ensure DQ is part of pipeline design, not post-processing-Support governance initiatives including metadata, tagging, and lineage-Pay rate between 50-65/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/.

Mar 26, 2026

Hunter Mill, VA

|

Data Warehousing

|

Contract-to-perm

|

$71 - $89 (hourly estimate)

{"JobID":511634,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-77.34,"Longitude":38.95,"Distance":null},"State":"Virginia","Zip":"20190","ReferenceID":"DC0-26b00ebc-b09c-447a-a6c6-d12ac973fc8c","PostedDate":"\/Date(1774552109000)\/","Description":"Insight Global is looking for an experienced Data Engineer to support us and a DoW customer on a mission critical project in Reston, Va. This individual will provide support to a series of mission critical kill-chain applications being developed and used for current US offensive and defense functions. This individual will be responsible for developing and maintaining healthy ETL (extract, transform, and load) processes for our data pipelines, and ensure healthy data streams for the applications. They will also play a part in designing additional data streaming infrastructure and ensuring smooth processing for cloud environments as we prepare to migrate. Hourly: 77-85/hr/hrSalary: 160,000-184,000We 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 (TSSCI)","City":"Hunter Mill","ExpirationDate":null,"PriorityOrder":0,"Requirements":"-Bachelors degree in STEM or related field -5+ years of related experience -Experience creating and/or maintaining ETL pipelines-Experience with backend development languages such as Python, Java, or cplusplus -Experience with the Apache suite (NiFi, Spark, Kafka) or similar data streaming tools (RabbitMQ)","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":89.0000,"SalaryLow":71.2000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Insight Global is looking for an experienced Data Engineer to support us and a DoW customer on a mission critical project in Reston, Va. This individual will provide support to a series of mission... critical kill-chain applications being developed and used for current US offensive and defense functions. This individual will be responsible for developing and maintaining healthy ETL (extract, transform, and load) processes for our data pipelines, and ensure healthy data streams for the applications. They will also play a part in designing additional data streaming infrastructure and ensuring smooth processing for cloud environments as we prepare to migrate. Hourly: 77-85/hr/hrSalary: 160,000-184,000We 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 16, 2026

Portland, OR

|

Data Warehousing

|

Contract

|

$30 - $37 (hourly estimate)

{"JobID":483463,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-122.67,"Longitude":45.51,"Distance":null},"State":"Oregon","Zip":"97204","ReferenceID":"POR-19de82f2-8cb6-4f10-a06a-9cf7b94cecaa","PostedDate":"\/Date(1768522387000)\/","Description":"An insurance company is looking for a Jr. Data Engineer to join the Modeling Optimization team within the Actuarial Transformation team. This person needs to be eager to learn and grow within this role. This position requires investigating, researching, and reporting findings to the lead analyst on the team. There will be hands on development within Python and interfacing with technical and business team members. This position will provide opportunities to explore different technologies and learn different parts of the business, asking questions and leaning into the mentor\u0027s knowledge is encouraged!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. Data Engineer","City":"Portland","ExpirationDate":null,"PriorityOrder":0,"Requirements":"1+ years of experience as a Data EngineerExperience with PythonExperience analyzing systems, data, and processes for improvementsAbility to gather requirements, investigate \u0026 research","Skills":"Dataiku experienceDatabricks","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":37.0000,"SalaryLow":29.6000,"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)\/"}

An insurance company is looking for a Jr. Data Engineer to join the Modeling Optimization team within the Actuarial Transformation team. This person needs to be eager to learn and grow within this... role. This position requires investigating, researching, and reporting findings to the lead analyst on the team. There will be hands on development within Python and interfacing with technical and business team members. This position will provide opportunities to explore different technologies and learn different parts of the business, asking questions and leaning into the mentor's knowledge is encouraged!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 18, 2026

Southfield, MI

|

Software Engineering

|

Perm

|

$90k - $135k (estimate)

{"JobID":508022,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-83.28,"Longitude":42.46,"Distance":null},"State":"Michigan","Zip":"48033","ReferenceID":"MIC-29afc4ad-799f-4d88-90ee-1343c8693367","PostedDate":"\/Date(1773844180000)\/","Description":"Insight Global is looking for a Data Engineer to support one of our aerospace customers. The Data Engineer is responsible for owning and actively evolving the data platform, balancing hands on development with platform stability and improvement. This role goes beyond ticket execution and support work; the engineer brings energy and ownership to daily work, proactively identifying opportunities, driving new initiatives, and collaborating closely with a small, global data team. Day to day includes a mix of new project development and operational support as the platform continues to grow, with an emphasis on automation, modernization, and scalable data solutions. Other responsibilities include: ?Own and develop the data platform and surrounding infrastructure, rather than operating in a ticket only support role?Design, build, maintain, and monitor ETL/ELT pipelines that ingest, transform, and enrich data into reliable data products?Spend approximately 50% of time on new development and 50% on platform support and operational work, including responding when existing components break?Lead and contribute to new incoming projects, including initiatives focused on real time data and additional automated processes?Proactively identify greenfield opportunities and independently drive solutions from idea through implementation?Work extensively with Python and SQL to build and enhance data pipelines?Develop and support Snowflake based components?Support and evolve Azure based components that enable and scale the data platform?Build and maintain CI/CD pipelines and automated testing to support reliable deployments?Support platform operations tied to incident and change management processes while prioritizing automation and prevention?Partner with data, infrastructure, cybersecurity, and compliance teams to implement and maintain governance, security, and metadata standards?Identify and drive improvements to platform performance, technical debt reduction, and cloud cost optimization?Maintain clear technical and support documentation and escalate platform risks or issues when appropriateCompensation:$90,000 to $120,000 per year annual salary. Exact compensation may vary based on several factors, including skills, experience, and education.Benefit packages for this role include:- Medical, Dental, Vision Insurance- Life Insurance and Disability- Voluntary Wellness Programs- 401(k) and RRSP programs with Company Match - Paid Vacation and Holidays- Tuition Reimbursement- And more!We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Data Engineer","City":"Southfield","ExpirationDate":null,"PriorityOrder":0,"Requirements":"- 1+ year of experience in the IT industry, including 1+ year working in a Data Engineer (or equivalent) capacity- Hands-on experience with Snowflake, Python, and SQL- 1+ year building ETL/ELT pipelines to load and transform structured and semi-structured data (using tools such as Airflow, Fivetran, Qlik, dbt, ADF, Snowpipe, Matillion, or similar)- Experience loading data into relational databases, data warehouses, and/or data lakes in Azure or another cloud platform- Experience designing and implementing data models (relational, star schema, and snowflake schema)- Working knowledge of DevOps concepts for data workloads, including CI/CD, automated testing, and code management/version control (e.g., GitHub)","Skills":"- Familiarity with SAP supply chain data and/or within aerospace","Industry":"Software Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":135000.0000,"SalaryLow":90000.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Insight Global is looking for a Data Engineer to support one of our aerospace customers. The Data Engineer is responsible for owning and actively evolving the data platform, balancing hands on... development with platform stability and improvement. This role goes beyond ticket execution and support work; the engineer brings energy and ownership to daily work, proactively identifying opportunities, driving new initiatives, and collaborating closely with a small, global data team. Day to day includes a mix of new project development and operational support as the platform continues to grow, with an emphasis on automation, modernization, and scalable data solutions. Other responsibilities include: ?Own and develop the data platform and surrounding infrastructure, rather than operating in a ticket only support role?Design, build, maintain, and monitor ETL/ELT pipelines that ingest, transform, and enrich data into reliable data products?Spend approximately 50% of time on new development and 50% on platform support and operational work, including responding when existing components break?Lead and contribute to new incoming projects, including initiatives focused on real time data and additional automated processes?Proactively identify greenfield opportunities and independently drive solutions from idea through implementation?Work extensively with Python and SQL to build and enhance data pipelines?Develop and support Snowflake based components?Support and evolve Azure based components that enable and scale the data platform?Build and maintain CI/CD pipelines and automated testing to support reliable deployments?Support platform operations tied to incident and change management processes while prioritizing automation and prevention?Partner with data, infrastructure, cybersecurity, and compliance teams to implement and maintain governance, security, and metadata standards?Identify and drive improvements to platform performance, technical debt reduction, and cloud cost optimization?Maintain clear technical and support documentation and escalate platform risks or issues when appropriateCompensation:$90,000 to $120,000 per year annual salary. Exact compensation may vary based on several factors, including skills, experience, and education.Benefit packages for this role include:- Medical, Dental, Vision Insurance- Life Insurance and Disability- Voluntary Wellness Programs- 401(k) and RRSP programs with Company Match - Paid Vacation and Holidays- Tuition Reimbursement- And more!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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