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# Data & AI Engineer, Advanced

- **Company:** the Naval Nuclear Laboratory
- **Location:** West Mifflin, PA, United States
- **Experience:** Experienced
- **Salary:** $95,700.0 - $149,600.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Automation of Tests, Cloud Computing, Computer Engineering, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Structures, Data Warehousing, DevOps, Dimensional Modeling, Python (Programming Language), Power BI, Microsoft Copilot, Azure Machine Learning, Software Engineering, SQL Databases, SQL Server Integration Services, Data Streaming, Systems Integration, Unstructured Data, Enterprise Data Management, Azure Data Factory, Git, Data Lakes, Information Technology, Azure OpenAI API, Data Lakehouse, Software Version Control, Data Pipelines
- **Published:** October 14, 2026
- **Apply:** https://diversityjobs.com/career/18653215/Data-Ai-Engineer-Advanced-Pennsylvania-West-Mifflin

## About the Role

* Bachelors degree from an accredited college or university in a related engineering or science field and a minimum of 4 years of relevant experience; or
 * Masters degree from an accredited college or university in a related engineering or science field and a minimum of 2 years of relevant experience; or
 * Doctorate degree from an accredited college or university in a related engineering or science field; or
 * Currently an Advanced Reactor Training Engineer, Refueling Engineer, or Field (RPCO) Engineer at the Company.

Preferred Skills

 * Degrees in Computer Science, Data Science, or Computer Engineering are preferred, but not required.
 * Experience integrating and transforming enterprise data from ERP, TMS, or EPM systems into analytical platforms, using ETL/ELT tools (such as Azure Data Factory, Synapse Pipelines, SSIS, Notebooks) and data engineering languages (Python, SQL).
 * Proficiency in designing and optimizing modern data architectures, including data lakehouse/cloud patterns, dimensional modeling (star/snowflake schemas), and Power BI analytics (datasets, dashboards, DAX, M).
 * Familiarity with Software Development Lifecycle, DevOps practices (Git-based source control, CI/CD pipelines, automated testing), and emerging AI/ML platforms (Azure ML, Microsoft Copilot, Azure Open AI), with attention to data privacy and responsible AI.
 * Strong ability to collaborate in cross-functional teams, communicate effectively, and apply analytical and problem-solving skills.

## Description

Working at the Naval Nuclear Laboratory we foster pride in belonging to an organization whose culture is made up of these core values: Trust, Empowerment, and Collaboration. Our company promotes a positive culture while ensuring the safety and reliability of our nation's naval nuclear reactors, and training the Sailors who operate those reactors in the U.S. Navy's submarine and aircraft carrier Fleets. Join the Naval Nuclear Laboratory (NNL) as a Data & AI Engineer and play a central role in modernizing the data foundations that power the Naval Reactors Program. In this role, you will help transform the financial data ecosystem by designing, building, and maintaining secure, scalable data infrastructure that enables accurate, timely, and actionable analytics across the enterprise. You will partner with teams across Financial Services, IT, Digital Transformation, and other mission-critical organizations to advance NNL's growing data-driven decision-making capabilities. This work supports
the multi year modernization of financial systems and analytics platforms, enabling cloud-forward architectures, integrated data repositories, standardized data structures, and automated data flows-all essential to ensuring NNL's financial insight, compliance, and operational excellence. Looking for a lifetime career? Apply today!

What You'll Do:

 * Design, build, and maintain high?quality data pipelines and workflows that integrate data from multiple systems.
 * Develop and support data warehouses and data lakes to enable 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 that support 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 new tools, cloud technologies, and automation capabilities that enhance scalability and efficiency.
Required Combination of Knowledge and Skill