> Markdown version of [/jobs/ext/1995913-data-engineer](https://www.wearedevelopers.com/jobs/ext/1995913-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Insight Global - **Location:** Tewksbury, MA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Microsoft Azure, Continuous Integration, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Github, Python (Programming Language), Cloud Services, Standard Sql, Data Streaming, Snowflake, Git, Data Lakes, Data Management, Data Pipelines, Databricks - **Published:** August 8, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9083082/data-engineer ## About the Role · 5+ years of Data Engineering experience · Strong SQL and Python development experience · Expertise with either Snowflake or Databricks platforms · Experience building ETL/ELT pipelines and data integration solutions · Experience developing cloud-native data architectures · Understanding of data governance, data quality, and security best practices · Matillion for ELT pipeline development and orchestration CDC and streaming architectures · HVR replication - Delta Lake, Unity Catalog, Databricks Workflows · Snowflake Streams and Tasks · CI/CD for data platforms · Git, Azure DevOps, GitHub Actions · AWS and/or Azure cloud environments (Govcloud) · Medallion architecture and data modeling concepts · Experience supporting DoD, aerospace, or sustainment environments ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters)