Senior Data Engineer - Hybrid; DMV Area Security Clearance

Position: Senior Data Engineer - Hybrid (DMV Area) with Security Clearance
Job Description Working under general supervision, you will design, build, and maintain data pipelines and applications that meet organizational standards and user requirements. You will test and validate software solutions, document issues and resolutions, propose process improvements, and help shape future data configurations for federal mission systems.

Key Responsibilities Develop, maintain, and troubleshoot data pipelines (ETL/ELT) in support of enterprise data systems
Ingest and integrate data from diverse sources (structured/unstructured) ensuring data quality, version control, and cleanliness
Work within the cloud environment (AWS, Azure) and related big-data technologies (e.g., Apache Spark/PySpark)
Participate in workflow analysis and recommend data process and quality improvements
Collaborate in building data models, analytics dashboards, and visualizations to deliver actionable insights
Support application development within operational platforms (e.g., low-code/no-code environments) and help translate business needs into technical solutions
Assist in integrating and deploying ML/AI model pipelines when applicable
Document software and data issues; report progress on problem resolution to management
Understand and apply system architecture, data security best practices, and compliance requirements relevant to federal environments

Required Qualifications Must hold a current Secret Clearance
Must live within the DMV area
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline
Minimum of 5 years of relevant experience (with 7 or more being highly desirable)
Strong proficiency in Python (for data pipelines and custom logic)
Solid experience with SQL and Apache Spark/Py Spark
Familiarity with cloud platforms (AWS and/or Azure) and scalable data processing
Demonstrated ability to build and support data integration pipelines and ensure data quality
Analytical mindset with workflow/process review capability and documentation skills
Understanding of federal or defense mission IT environments, or willingness to rapidly adapt to such environments
Good verbal and written communication skills; ability to interface across technical and business stakeholders Preferred / Highly Desired Skills

Experience with Palantir Foundry platforms (ontology design, pipeline builder, low-code/no-code UI)

Experience with JavaScript / Type Script and/or React for front-end or application UI development
Previous experience in DoD/federal systems, including clearance environment and compliance frameworks
Hands-on experience integrating machine learning pipelines (feature engineering, model deployment)
Familiarity with Dev Ops, CI/CD, version control, and data governance best practices