Experience with Python and SQL; experience supporting ETL/ELT pipelines and data transformations; familiarity with data validation, data modeling, and data-quality practices; familiarity with Spark, PySpark, Databricks, or comparable technologies; understanding of version control, testing, documentation, and Agile development; ability to collaborate with technical and nontechnical stakeholders; active DoD clearance required. Works with data scientists, engineers, and mission stakeholders to process structured and unstructured data using Databricks, Spark, Palantir Foundry, Maven Smart Systems, or comparable platforms.