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Naval Nuclear Laboratory (NNL) is seeking a Data & AI Engineer to modernize data foundations and enable enterprise analytics across the Naval Reactors Program.
You will design, build, and maintain secure data infrastructure, pipelines, and data models, collaborating with Financial Services, IT, and transformation teams to support compliant, scalable analytics.
Naval Nuclear Laboratory (NNL) is a national asset dedicated to the Naval Nuclear Propulsion Program. For more than 75 years, the Laboratory has developed advanced nuclear propulsion technology, provided technical support, and trained skilled nuclear operators to help ensure the safe and reliable operation of U.S. Navy submarine and aircraft carrier fleets. NNL is operated for the U.S. Department of Energy by Fluor Marine Propulsion, LLC, a wholly owned subsidiary of Fluor Corporation. Its employees work across multiple DOE facilities and other locations supporting the program.
Naval Nuclear Laboratory (NNL) is a national asset dedicated to the Naval Nuclear Propulsion Program. For more than 75 years, the Laboratory has developed advanced nuclear propulsion technology, provided technical support, and trained skilled nuclear operators to help ensure the safe and reliable operation of U.S. Navy submarine and aircraft carrier fleets. NNL is operated for the U.S. Department of Energy by Fluor Marine Propulsion, LLC, a wholly owned subsidiary of Fluor Corporation. Its employees work across multiple DOE facilities and other locations supporting the program. NNL fosters a culture built on trust, empowerment, and collaboration. Our teams contribute to work with lasting national impact while supporting safety, innovation, and operational excellence.
Join NNL as a Data & AI Engineer and help modernize the data foundations that support the Naval Reactors Program. You will design, build, and maintain secure, scalable data infrastructure for accurate, timely, and actionable enterprise analytics. Working with partners in Financial Services, IT, Digital Transformation, and other mission-critical organizations, you will advance data-driven decision-making and support the multiyear modernization of financial systems and analytics platforms. This work includes enabling cloud-forward architectures, integrated data repositories, standardized data structures, and automated data flows. Your contributions will support financial insight, compliance, and effective operations across the organization.
Applicants must meet one of the following education and experience combinations: a bachelor’s degree from an accredited college or university in a related engineering or science field and at least four years of relevant experience; a master’s degree in a related engineering or science field and at least two years of relevant experience; or a doctorate in a related engineering or science field. Current Advanced Reactor Training Engineers, Refueling Engineers, or Field (RPCO) Engineers at the Company may also qualify. Degrees in Computer Science, Data Science, or Computer Engineering are preferred. Relevant experience with enterprise data integration, transformation, ETL/ELT tools, Python, SQL, cloud data platforms, data modeling, or analytics is an advantage. Familiarity with Azure Data Factory, Synapse Pipelines, SSIS, notebooks, lakehouse architectures, Power BI, Git, CI/CD, automated testing, or AI/ML platforms is beneficial. Strong collaboration, communication, analytical, and problem-solving skills are important.
All candidates must be U.S. citizens and must meet eligibility requirements following a Federal background investigation for access to classified matter. Candidates must also be able to pass a drug test in accordance with company policy and applicable regulations.
Design, build, and maintain reliable data pipelines and workflows that integrate information from multiple systems. Develop and support data warehouses and data lakes that provide secure, efficient access to structured and unstructured data. Implement ETL/ELT processes to deliver clean, consistent, well-governed datasets. Collaborate with analysts, software developers, and business partners to create data models that support reporting and advanced analytics. Monitor and improve data quality, performance, and reliability through validation and optimization. Ensure solutions follow data governance, security, privacy, and compliance requirements. Evaluate tools, cloud technologies, and automation capabilities that can improve scalability and efficiency, while supporting responsible use of AI.
The annual pay range is $95,700 to $149,600. Actual salary depends on experience, qualifications, and business and market considerations.
Fluor Marine Propulsion, LLC is an Equal Opportunity Employer, including disability and protected veteran status. All qualified applicants will receive consideration without regard to race, color, age, sex, religion, national origin, disability, veteran status, genetic information, or any other status protected by applicable federal, state, or local law. FMP is a government contractor and maintains a drug-free workplace.