Bachelors degree in computer science, data science, engineering, information systems, mathematics, or a related technical field. Equivalent combinations of education, technical certification, and relevant professional experience may be considered.
3+ years of relevant data engineering, software development, data analytics, or enterprise-platform experience.
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.