Data Engineer
Core
Design, develop, and maintain scalable, production-ready data pipelines and APIs for a federal health data modernization initiative, integrating diverse defense and federal systems.
Role type
Data Engineer
Builds
Scalable data pipelines, APIs, and data products for federal health and mission data
Domain
Federal government / Health data / Defense systems
Required skills
Python, SQL, Apache Spark, Databricks, ETL/ELT, REST APIs, data modeling, data validation, Git workflows, AI-assisted development tools
Preferred skills
AWS cloud, handling billions of records, Palantir Foundry, Advana, GitLab/CI/CD, federal regulated data
Technologies
Spark, Python, SQL, Databricks, REST APIs, Git, AWS, Palantir Foundry, Advana
Responsibilities
Design and maintain scalable data pipelines; Integrate and transform diverse datasets; Develop data models for enterprise reporting; Build API-based integrations; Monitor and optimize production workflows; Implement data governance and quality checks
Seniority
Mid-level (3+ years experience)