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# Data Engineer

- **Company:** General Dynamics IT
- **Location:** Fort Bragg, NC, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Information Systems, Computer Programming, Databases, Computer Engineering, Data Validation, Data Dictionary, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Database Development, Distributed Computing Environment, Python (Programming Language), Machine Learning, Metadata, Microsoft SQL Server, Natural Language Processing, Performance Tuning, Power BI, Software Engineering, SQL Databases, Unstructured Data, Enterprise Data Management, Data Processing, Large Language Models, Palantir Foundry, Apache Spark, Git, SC Clearance, Pyspark, Information Technology, Machine Learning Operations, Semantic Modeling, Software Version Control, Data Pipelines, Powerapps, Service Stack, Databricks
- **Published:** October 22, 2026
- **Apply:** http://hbcu.com/cgi-bin/jobs/searchJobs.cgi?job_id=35285826

## About the Role

data handling, and implement data access controls as directed by the Government.Collaborate with Government personnel, clinicians, program staff, and the data science team to identify new data sources, improve the quality of data entered into Government systems, and translate analytical requirements into data requirements.Provide data engineering expertise and technical guidance to Data Scientists and Senior Data Scientists. WHAT YOULL NEED TO SUCCEED:EDUCATION:Bachelors degree in a quantitative or computing discipline, including but not limited to computer science, computer engineering, software engineering, information systems, data science, data engineering, mathematics, statistics, or geospatial science or geoinformatics, with documented coursework or professional application in programming, databases, and quantitative analysis. A candidate without the degree qualifies with the experience stated under Required Minimum Experience/Skills.Minimum of three (3) years of professional
experience in data engineering, database development, or data pipeline development. Without the bachelors degree, a minimum of five (5) years of such experience.Demonstrated proficiency in SQL and in Python or a comparable language used for data engineering, demonstrated through professional work experience.Demonstrated experience building and operating data pipelines, including ETL/ELT design, data modeling, data quality checks, reproducible pipeline design, and version control (Git).Ability to communicate clearly with analysts and non-technical stakeholders and to document technical work for continuity. PREFFERED EXPERIENCE:Experience with Palantir Foundry (including ontology development) or a comparable data-integration platform.Experience with distributed processing frameworks such as Databricks and Apache Spark (PySpark).Familiarity with Power BI semantic modeling and with the Microsoft Power Platform (Power Apps and Power Automate).with deploying analytics or
machine-learning models into applications and with MLOps concepts.Experience working in a DoW-authorized cloud environment.Experience with human performance, health, clinical, or biomedical data. LOCATION: Various CONUS SITESCLEARANCE: Secret or Top-Secret Clearance, or the ability to obtain clearance. This is a contingent posting, expected to start in 2026.GDIT IS YOUR PLACE:401K with company matchComprehensive health and wellness packagesInternal mobility team dedicated to helping you own your careerProfessional growth opportunities including paid education and certificationsCutting-edge technology you can learn fromRest and recharge with paid vacation and holidays #MilitaryHealthGDITJobs

## Description

We are GDIT. The people supporting and securingsome of the most complex government, defense, andintelligence projects across the country. We ensuretoday is safe and tomorrow is smarter. Our work hasmeaning and impact on the world aroundus, but also on us, andthatsimportant. GDIT is your place. You make it your own by embracingautonomy, seizing opportunity, and being rusted todeliver your best every day. We think. We act. We deliver. There is no challenge wecantturn into opportunity. And our work depends on a Data Engineer joining our team to supportcustomer activities. The Data Engineer builds and sustains the data foundation of the POTFF Enterprise Data and Analytics function. The Data Engineer acquires, integrates, and prepares data from the Government-designated Human Performance System of Record (e.g., HPDMS) and other Government-approved sources; designs, implements, and maintains scalable, reproducible data pipelines and curated, analysis-ready datasets on the Government-furnished
technology stack; and enforces the data quality, lineage, and governance controls that make downstream analysis defensible. The Data Engineer provides data engineering expertise for the enterprise data science team and works in direct support of the Data Scientists, Senior Data Scientists, and Data Science Advisor. HOW A DATA ENGINEER WILL MAKE AN IMPACT:Design, implement, and maintain scalable extract-transform-load and extract-load-transform (ETL/ELT) pipelines on the Government-furnished technology stack (e.g., SQL Server, Databricks, and Apache Spark (PySpark)) for batch and scheduled processing and data transformation.Fuse disparate structured, semi-structured, and unstructured data sources from across the POTFF enterprise, including the Government-designated Human Performance System of Record (e.g., HPDMS), assessment and wearable data, and other Government-approved systems, into curated, analysis-ready datasets.Implement rigorous data quality controls, validation rules, lineage
documentation, and performance tuning to ensure reliable, reproducible, and secure pipelines; monitor scheduled and orchestrated workloads and resolve failures.Develop and maintain data models, data dictionaries, metadata, and transformation logic under version control, and document data sources, assumptions, and processing steps to ensure transparency and operational continuity.Prepare and curate text and other unstructured data to support Natural Language Processing (NLP) and Large Language Model (LLM) use cases executed by the data science team within Government-approved tools.Support the integration of curated data products into Government-furnished visualization and low-code tools and the deployment of analytic products into operational workflows, including basic machine-learning operations (MLOps) practices where directed by the Government.Apply Government data governance, security, and privacy requirements, including DoW Impact Level 5 (IL5), HIPAA, and Privacy Act protocols, to all