Why This Role Stands Out
This on-site Data Engineer role offers significant opportunities to architect and implement scalable data solutions for critical defense initiatives, fostering continuous learning and professional development. If you possess a strong background in data systems, Python, and SQL, and thrive in a collaborative environment with a focus on data quality and security, this position is an excellent next step in your career.
Quick Overview
Job Description
Job Title: Data Engineer
Location: Fort Belvoir, Virginia
Type: Contract To Hire
Work Model: Onsite Hours: 40.0
Clearance: Secret Contact: Responsibilities
- Own the architecture and implementation of scalable data pipelines and data products.
- Integrate and transform data from multiple Army and enterprise sources.
- Develop data models and ontology that support applications, reporting, and analysis.
- Design for data quality, lineage, security, observability, and long-term maintainability.
- Establish engineering standards for testing, source control, deployment, and operations.
- Partner with software engineers, product designers, and customer stakeholders.
- Review technical designs, mentor engineers, and resolve complex data challenges.
- Bachelor’s degree in computer science, engineering, information systems, data science, or a related field, or equivalent practical experience.
- Eight or more years of experience building production data systems.
- Strong proficiency with Python, SQL, and modern data-engineering patterns.
- Experience designing data pipelines and products on Palantir Foundry, Army Vantage, or a comparable enterprise data platform.
- Experience with data modeling, ontology, data quality, and lineage.
- Strong software-engineering fundamentals, including testing, source control, CI/CD, and monitoring.
- Experience supporting a Department of Defense customer.
- Active Secret clearance.
Preferred Qualifications
- Experience supporting the U.S. Army.
- Direct experience with Palantir Foundry or Army Vantage.
- Experience with PySpark or other distributed data-processing technologies.
- Familiarity with Army acquisition or program management data.
- Experience with cloud platforms, DevSecOps, and infrastructure as code.
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