Senior Data Engineer; Data Platform & Software Development Focus
Listed on 2026-02-19
-
IT/Tech
Data Engineer, Data Security
Location: Kenmare
Type of Requisition
Regular
Clearance Level Must Currently PossessSecret
Clearance Level Must Be Able to ObtainSecret
Public Trust/Other RequiredNone
Job FamilyData Science and Data Engineering
Job QualificationsSkills: Application Development, Java, Web Services
Certifications: None
Experience: 5+ years of related experience
US Citizenship
Required:
Yes
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 IMPACTAs 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.
Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or related technical discipline.
EducationEducation: Bachelors Degree
Security ClearanceSecurity
Clearance Required:
Secret Level Security Clearance
Certifications: Must possess a DoD 8570 IAT Level II certification
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/Type Script, 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.
DataEngineering & 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…
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