Lead Data Engineer (Azure/Databricks)

Location: Fully remote; applicants must be authorized to work in the United States. Certain roles may require U.S. citizenship and the ability to obtain and maintain a federal background investigation and/or security clearance.

Salary: $110,000–$145,000 annually in the United States.

Company

hirify.global builds quality software for the federal space to improve the daily lives of millions of people.

What you will do

• Set the technical approach for migrating legacy data warehouse data, ETL workloads, and pipelines to an Azure and Databricks lakehouse.
• Guide migration teams on reusable patterns, source-to-target reconciliation, and quality gates.
• Design migration pipelines with Azure Data Factory and Azure Databricks.
• Resolve complex pipeline and performance problems and define data accuracy validation approaches.
• Mentor data engineers, review their work, and partner with product, QA, and platform teams.

Requirements

• Leadership experience in data engineering on large migration or modernization programs.
• Deep experience with Databricks or Spark and Azure Data Factory.
• Strong SQL and Python skills.
• Experience moving legacy ETL and data warehouse workloads to the cloud.
• Understanding of lakehouse and medallion architecture, including Delta.
• Experience working in a remote, collaborative Agile environment and leading and mentoring engineers.
• Clear, open communication when setting technical direction and aligning with customers.
• Bachelor's degree.
• U.S. work authorization is required; certain roles may also require U.S. citizenship and a federal background investigation and/or security clearance.

Nice to have

• Experience in federal or regulated data environments.

Culture & Benefits

• Fully remote work in a collaborative Agile environment.
• Tech and education stipend.
• Comprehensive benefits package.
• Company-match 401(k) plan.
• Flexible PTO and paid holidays.