Junior Data Engineer

Supports the development and maintenance of secure data pipelines, ETL/ELT workflows, and analytics-ready datasets. 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.

Responsibilities

Supports the development and maintenance of secure data pipelines, ETL/ELT workflows, and analytics-ready datasets; 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

Requirements

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

Nice to have

Experience with Palantir Foundry, Maven Smart Systems, or War Data Platform; Familiarity with AWS or Azure; Exposure to Docker, CI/CD, MLflow, APIs, or Terraform; Experience supporting DoD or federal mission environments