Build secure, scalable data pipelines and analytics infrastructure for critical defense missions at Peterson Space Force Base. You'll engineer ETL workflows and ensure data quality for mission stakeholders using enterprise platforms like Databricks and Palantir Foundry.
What you'll do
- Design and maintain secure data pipelines and ETL/ELT workflows processing structured and unstructured data
- Build analytics-ready datasets using Databricks, Spark, Palantir Foundry, Maven Smart Systems, or comparable platforms
- Implement data validation, quality checks, and data modeling best practices
- Collaborate with data scientists, engineers, and mission stakeholders to translate requirements into technical solutions
- Write production Python and SQL code with proper version control, testing, and documentation
- Support classified network operations and DoD data environments within a SCIF
Mission
Agile Defense supports the U.S. Space Force and broader Department of Defense operations through adaptive technology integration. This role directly enables data-driven decision-making for national security missions by processing structured and unstructured data in secure DoD environments.
Required skills
- Python
- SQL
- ETL/ELT pipelines
- Data modeling
- Spark or PySpark
- Databricks
- Data validation
- Version control