GDIT
SeniorDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer at GDIT. Skills: Agentic AI, Big Data Engineering, Data Architecture, Python, Java, SQL, NoSQL, Azure, OCI, AWS. Design, build, and operate scalable end-to-end data pipelines and curated data products that support enterprise analytics and agentic AI use cases. Integrate data from enterprise systems and external sources, including structured, semi-structured, and unstructured data”
What You'll Achieve.
drive mission impact; grow your expertise to power your career forward; deliver enterprise-grade solutions that integrate AI, data, and human-AI collaboration workflows across key business functions; building an AI-first data ecosystem foundational to enterprise AI transformation; deliver reliable data services for agentic AI workflows; translate requirements into production solutions; create immediate value and deliver solutions at the edge of innovation
Industry & Context.
US Persons required, Travel Required: 10-25%
What They're Looking For.
Must Have
Bachelor’s degree in Computer Science/Engineering, Data Science, or a related field, 8+ years of experience delivering production-grade data engineering across databases, data integration, data services, and data governance, Proficiency in programming languages (Python or Java) and databases (SQL and NoSQL), Experience with enterprise-scale data architectures and cloud data platforms such as Azure, OCI, or AWS, collaboration and communication skills in cross-functional enterprise environments, US Persons required
Nice to Have
Experience delivering data engineering for agentic AI applications, Experience with retrieval-based AI data foundations (document processing, metadata, embeddings, vector or hybrid search), Familiarity with agent workflows and how agents interact with data services and tools in production, Experience with lakehouse architectures and cloud data platforms such as Azure (preferred), OCI (preferred), or AWS, Experience in real-time streaming applications or other high-velocity solutions, Experience leveraging AI tools to improve data engineering productivity and quality in coding, testing, and documentation
What You'll Do.
and operate scalable end-to-end data pipelines and curated data products that support enterprise analytics and agentic AI use cases
Integrate data from enterprise systems and external sources
and unstructured data
Deliver reliable data services for agentic AI workflows
and governed context delivery for AI agents
Implement data quality
and governance best practices across data pipelines and products
Optimize performance and cost across storage
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams, including business stakeholders, AI engineers, and software developers, to translate requirements into production solutions
Communication Scope
collaboration and communication skills in cross-functional enterprise environments
Full Job Description
**_Type of Requisition:_** Regular _**Clearance Level Must Currently Possess:**_ None _**Clearance Level Must Be Able to Obtain:**_ None ** _Public Trust/Other Required:_** None _**Job Family:**_ Data Science and Data Engineering ** _Job Qualifications:_** **Skills:** Agentic AI, Big Data Engineering, Data Architecture **Certifications:** None **Experience:** 8 + years of related experience **US Citizenship Required:** No _**Job Description:**_ As a **Senior** **Data Engineer** at GDIT, you’ll power innovation to drive mission impact and grow your expertise to power your career forward. We are a fast-growing AI and Data team within the Global CIO organization at GDIT. We design and deliver enterprise-grade solutions that integrate AI, data, and human-AI collaboration workflows across key business functions (e.g., Growth, Finance, HR, Legal, and Supply Chain). We are looking for a highly skilled Data Engineer (Agentic AI) who shares a passion for delivering data engineering for agentic AI applications and building an AI-first data ecosystem foundational to enterprise AI transformation. **MEANINGFUL WORK AND PERSONAL IMPACT:** * Design, build, and operate scalable end-to-end data pipelines and curated data products that support enterprise analytics and agentic AI use cases * Integrate data from enterprise systems and external sources, including structured, semi-structured, and unstructured data * Deliver reliable data services for agentic AI workflows, including APIs, retrieval/indexing, and governed context delivery for AI agents * Implement data quality, observability, and governance best practices across data pipelines and products * Optimize performance and cost across storage, compute, orchestration, and serving layers * Collaborate with cross-functional teams, including business stakeholders, AI engineers, and software developers, to translate requirements into production solutions **WHAT YOU’LL NEED TO SUCCEED** Bring your expertise and drive for innovation to
Applying for this Senior Data Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about GDIT?
Real rants from real employees. Read before you apply.