Senior Data Engineer (Data Platform & Software Development Focus)

Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As a Senior Data Engineer at GDIT, you will power innovation through scalable software development, cloud-native engineering, and secure data platform integration, driving mission impact across USAREUR-AF operations.

MEANINGFUL WORK AND PERSONAL IMPACT

As a Senior Data Engineer, you will architect, develop, and maintain secure, scalable data platforms and applications supporting USAREUR-AF mission systems. This role emphasizes software development, ETL/ELT engineering, API development, workflow automation, ontology modeling, and cloud-native application integration.

You will embed governance practices into operational systems through code-driven workflows within Maven Smart Systems (MSS) such as Palantir Foundry environments, or other tools such as Apache NiFi and associated data repositories, ensuring enterprise data is trusted, interoperable, secure, and mission-ready.

How a Senior Data Engineer will make an impact:

• Design, develop, test, deploy, and maintain data-centric applications and services supporting mission and enterprise systems.

• Engineer and maintain ETL/ELT pipelines to extract, transform, normalize, and load structured and semi-structured data across Army and DoD platforms.

• Develop and manage workflows within Maven Smart Systems (MSS) and Palantir Foundry, including ontology design, object modeling, and pipeline automation.

• Integrate data governance controls, metadata standards, access policies, and classification requirements directly into engineered workflows and services.

• Develop RESTful APIs, web services, and event-driven integrations to enable real-time and near-real-time data exchange.

• Deploy and manage applications within containerized and cloud-native environments (Docker, Kubernetes, AWS, Azure, Google Cloud).

• Conduct data process mapping and optimize information flows across mission systems, business systems, and external partners.

• Support metadata management, data lineage tracking, master data management, and enterprise data catalog initiatives.

• Ensure compliance with Army and DoD data governance frameworks, cybersecurity standards, and data protection requirements.

• Collaborate with cross-functional stakeholders including data stewards, system owners, developers, and leadership to resolve interoperability and data quality challenges.

• Participate in Theater-level enterprise data working groups and governance boards supporting analytics strategy and operational integration.

Required Education:

Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or related technical discipline.

• Education: Bachelors Degree

• Security Clearance Required: Secret Level Security Clearance

• Certifications: Must possess a DoD 8570 IAT Level II certification

• Required Experience:

• Software Development & Engineering (3–5 years) Experience developing enterprise applications using Java (8/11/17), Java EE, or modern Java frameworks. Strong experience with JavaScript/TypeScript, Angular (14+), HTML, CSS or other modern JavaScript Frameworks and modern web application development. Experience designing, coding, testing, debugging, and documenting secure software solutions across the Software Development Lifecycle (SDLC). Experience with unit testing frameworks (e.g., JUnit, Jest), code coverage tools, and dependency mocking.

• Data Engineering & Integration (2–5 years) Hands-on experience with Maven Smart Systems (MSS) and Army enterprise data platforms. Experience building ETL/ELT pipelines using tools such as Apache NiFi, XSLT, or comparable data transformation frameworks. Experience working with common data formats and standards including JSON, XML, XSD, CSV, GeoJSON, and KML. Experience establishing secure data connections across cloud and on-premise systems. Familiarity with Palantir Foundry, including ontology development and pipeline orchestration strongly preferred.

• Cloud & DevOps (2–3 years) Experience deploying applications in containerized environments (Docker, Kubernetes, Tanzu Application Platform). Experience working within AWS, Azure, or Google Cloud environments. Experience implementing CI/CD pipelines and DevOps best practices. Familiarity with Infrastructure as Code (IaC) tools such as Terraform. Experience using Git/GitLab, Jira, and Confluence within Agile/Scrum environments.

• Army Systems & Interoperability Experience working with Army enterprise platforms such as Army Vantage, Maven Smart Systems (MSS), or AIDP. Understanding of Joint and Army C4I systems and interfaces such as TAK, GCCS-J, GCCS-A, CPCE, SitaWare, Tactical Data Platform (TDP), or DDS preferred. Knowledge of geospatial data concepts including imagery, overlays, vectors, point features, and related operational data formats.

• Data Governance & Compliance (3–5 years) Experience implementing data governance frameworks and ensuring compliance with Army/DoD data policies. Experience integrating security controls, access policies, metadata standards, and classification controls into technical solutions.

GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.

• Growth: AI-powered career tool that identifies career steps and learning opportunities

• Support: An internal mobility team focused on helping you achieve your career goals

• Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off

• Community: Award-winning culture of innovation and a military-friendly workplace

OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.