Data & AI Engineer, Advanced

Naval Nuclear Laboratory•West Mifflin, NY

About The Position

The Naval Nuclear Laboratory is hiring a Data & AI Engineer to modernize the data foundations that support the Naval Reactors Program. The role focuses on transforming the financial data ecosystem by designing, building, and maintaining secure, scalable data infrastructure for accurate, timely, and actionable enterprise analytics. The engineer will work with Financial Services, IT, Digital Transformation, and other mission-critical organizations to advance data-driven decision-making and support modernization of financial systems and analytics platforms. This includes cloud-forward architectures, integrated data repositories, standardized data structures, and automated data flows that support financial insight, compliance, and operational excellence. The position develops and maintains data pipelines, workflows, warehouses, and lakes; implements ETL/ELT processes; and collaborates with analysts, developers, and business partners on data models for reporting and advanced analytics. It also improves data quality, performance, and reliability, ensures compliance with governance and security requirements, and evaluates technologies and automation capabilities. Candidates must be U.S. citizens and, if selected, undergo a federal background investigation and meet eligibility requirements for access to classified matter. Candidates must also pass a drug test in compliance with company policy and 10 CFR 707.

Requirements

Bachelor's degree from an accredited college or university in a related engineering or science field and at least 4 years of relevant experience; or a master's degree in a related engineering or science field and at least 2 years of relevant experience; or a doctorate in a related engineering or science field; or current employment at the Company as an Advanced Reactor Training Engineer, Refueling Engineer, or Field (RPCO) Engineer.
U.S. citizenship.
If selected, eligibility to undergo a federal background investigation and qualify for access to classified matter.
Ability to pass a drug test in compliance with FMP company policy and 10 CFR 707.

Nice To Haves

A degree in Computer Science, Data Science, or Computer Engineering.
Experience integrating and transforming enterprise data from ERP, TMS, or EPM systems into analytical platforms.
Experience with ETL/ELT tools such as Azure Data Factory, Synapse Pipelines, SSIS, or Notebooks, and data engineering languages such as Python and SQL.
Proficiency designing and optimizing modern data architectures, including data lakehouse/cloud patterns and dimensional modeling (star/snowflake schemas).
Experience with Power BI analytics, including datasets, dashboards, DAX, and M.
Familiarity with the Software Development Lifecycle, DevOps practices, Git-based source control, CI/CD pipelines, and automated testing.
Familiarity with AI/ML platforms such as Azure ML, Microsoft Copilot, and Azure OpenAI, with attention to data privacy and responsible AI.
Strong collaboration, communication, analytical, and problem-solving skills.

Responsibilities

Design, build, and maintain high-quality data pipelines and workflows integrating data from multiple systems.
Develop and support data warehouses and data lakes for secure, efficient access to structured and unstructured data.
Implement ETL/ELT processes that deliver clean, consistent, and well-governed datasets.
Collaborate with analysts, software developers, and business partners to create data models for reporting and advanced analytics.
Improve data quality, performance, and reliability through monitoring, validation, and optimization.
Ensure adherence to data governance, security, and compliance requirements.
Evaluate tools, cloud technologies, and automation capabilities to enhance scalability and efficiency.