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# Navy Data Engineer

- **Company:** Integrated Data Services, Inc.
- **Location:** Washington, DC, United States
- **Experience:** Expert
- **Salary:** $150,000.0 - $175,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Automation of Tests, Backup Devices, Code Review, Information Systems, Data Validation, Extract Transform Load (ETL), Data Migration, Relational Databases, Disaster Recovery, Intrusion Detection Systems, JSON, Python (Programming Language), Operational Databases, Oracle (Applications), Standard Sql, Software Engineering, PL-SQL, SQL Databases, Talend, Data Ingestion, Apigee, SC Clearance, Information Technology, Api Gateway, Restful APIs, Data Pipelines, Legacy Systems
- **Published:** August 27, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9120745/navy-data-engineer

## About the Role

Strong SQL and PL/SQL, plus working proficiency in Java, Python, and JSON
Demonstrated experience building and operating production ETL/ELT pipelines
Data modeling experience, including turning raw source data into reusable analytics datasets or data products
Experience integrating or consuming data through REST APIs
Experience troubleshooting and optimizing pipelines for performance and reliability

Preferred:
Hands-on Oracle, Talend, or Apigee experience. Comparable enterprise RDBMS, ETL, and API gateway tooling is also of interest.
Experience with DoW acquisition and finance data
Experience delivering in an IL-4/5 or other accredited government cloud environment

Education and Work Experience:
This position requires five (5) or more years of relevant experience
This position requires a minimum of a Bachelor's degree from an accredited college or university in data science, computer science, software engineering, information systems, mathematics, or a closely related technical discipline.
Experience in lieu of education may be considered if the individual has seven (7) or more years of relevant experience

Physical & Mental Qualifications:
Must be able to sit, type, hear, see, and speak for extended periods of time.
Must consistently work and type on a computer for prolonged periods of time.
Must be able to able to communicate accurate information and ideas so others will understand.
Must be able to lift/carry at least 15 lbs.
May be required to move about inside an office to access file cabinets, office supplies, etc.

Security Clearance:
Applicants selected for employment will be subject to a Federal background investigation and must meet additional eligibility requirements for access to classified information or materials.
Active Secret clearance preferred; ability to obtain and maintain Secret clearance is mandatory.

## Description

IDS is seeking a Data Engineer to support the Navy's acquisition transformation strategy that is bringing together data from diverse defense and federal systems to build scalable pipelines, APIs, and data products that improve how critical information is integrated, accessed, and used. In this role, you'll work hands-on with complex acquisition and finance data to develop scalable, production-ready capabilities while helping establish reusable patterns for data ingestion, integration, and delivery. Your work will contribute to the technical foundation of a growing data platform ecosystem supporting multiple Military Services and the Department of War (DoW).

This is hands-on engineering, not oversight. You will write the code, own the pipelines in production, and help set the standards., Design, build, and operate production data pipelines in SQL, PL/SQL, Java, and Python across an Oracle, Talend, and Apigee stack in an IL-4/5 environment
Integrate and transform acquisition and financial datasets into reliable, reusable data products
Develop data models and analytics datasets that drive enterprise reporting and operational decisions
Build and maintain REST API integrations for ingesting and exchanging data across systems
Migrate data from legacy systems
Monitor, troubleshoot, and tune scheduled workflows for performance, reliability, and scale
Implement data validation, quality checks, lineage, and governance practices that build trust in the data
Contribute to automated testing, code reviews, documentation, and reusable engineering patterns
Shape physical database design for performance, scaling, security, backup, and disaster recovery
Knowledge and Skills


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