Lead Data Engineer (Remote - US only)
A small software company that builds products for the U.S. federal government is hiring a Lead Data Engineer for a federal health-services modernization program. The role is contingent on contract award. You will set the technical direction for moving legacy data warehouse data and pipelines onto a cloud lakehouse built on Azure and Databricks. The position suits an experienced engineer who wants to shape the approach and mentor others.
What you'll do
- Define the technical approach for migrating data and pipelines to the lakehouse
- Set migration patterns, reconciliation methods, and data quality gates for delivery teams
- Build reusable migration pipelines using Azure Data Factory and Azure Databricks
- Specify how source and target data are reconciled to confirm accuracy
- Troubleshoot the most difficult pipeline and performance issues
- Mentor data engineers, review their code, and coordinate with product, QA, and platform teams
What you need
- Authorized to work in the United States; some roles may require U.S. citizenship and the ability to obtain and maintain a federal background investigation and/or security clearance
- Bachelor's degree
- Leadership experience on large data migration or modernization programs
- Deep experience with Databricks or Spark and Azure Data Factory
- Strong SQL and Python skills, with experience moving legacy ETL and data warehouse workloads to the cloud
- Understanding of lakehouse and medallion architecture, including Delta; experience in federal or regulated data environments is a plus
Applicants must be based in: United States.
How to apply
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