Data Engineer

Insight Global

Tewksbury, MA, United States

3 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.clearancejobs.com

Tech stack

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

+6 more

Snowflake Git Data Lakes Data Management Data Pipelines Databricks

Requirements

· 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

About the company

Our client is investing in a next-generation digital platform designed to unify data, analytics, and operational insights across a globally deployed mission-critical environment. Team members will play a key role in a high-visibility modernization initiative focused on data integration, advanced analytics, AI enablement, application development, and operational readiness. This is an opportunity to build impactful solutions from the ground up, work alongside senior technical leaders, and help shape the future of a platform that supports complex operations on a global scale.

If you are interested in joining this team as a Data Engineer, you will be:

Building the data foundation that powers next-generation strategy
Developing scalable data pipelines and integrations that bring together data from enterprise systems and deployed environments
Designing Snowflake and Databricks solutions that enable advanced analytics, reporting, and machine learning initiatives
Working alongside Data Scientists and Application Developers to support AI, predictive analytics, and operational dashboards
Playing a key role in delivering a modern data platform that improves sustainment visibility and mission readiness

**The Snowflake Data Engineer specifically requires Snowflake architecture, CDC/Streams, Matillion, HVR, data governance, and cloud integration experience. **The Databricks Engineer specifically emphasizes Spark, Delta Lake, Unity Catalog, Databricks Workflows, AI/ML platforms, GenAI, RAG, LangChain, CI/CD automation, and modern Lakehouse architecture capabilities.