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Naval Nuclear Laboratory

Data Engineer

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What they do

A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.

$113,315 / year median in Pennsylvania

+12% projected growth

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Job Description

Data Engineer Naval Nuclear Laboratory - 2.7 West Mifflin, PA Job Details $95,700 - $149,600 a year 21 hours ago Benefits Wellness program Paid parental leave Disability insurance Health insurance Dental insurance Tuition reimbursement Parental leave Employee assistance program Vision insurance Flexible schedule Life insurance Qualifications Data integrity assurance Data model design Data quality checks Commercial use (data warehousing systems) Data modeling Data Integration (Data management) Doctoral degree Relational database modeling Spark Process improvement Mid-level Scalable systems Technical solutions implementation Data Architecture Design (Architecture design skills) Analysis skills Spark implementation Bachelor's degree in engineering Data quality monitoring Organizational skills Scalability Master's degree in engineering Cross-functional collaboration 2 years Technical architecture Communication skills Hadoop Full Job Description West Mifflin, PA, US 2026-08-24 09:34:08 Data Analytics Back to results About Us Job Description As an Advanced Data Engineer within the Data Engineering Unit, you will be an integral part of our team, focusing on designing, building, and maintaining scalable data pipelines and architectures. You will work to ensure the smooth and efficient flow of data across our systems, supporting our organization's analytical and operational needs. Your role will involve collaborating with data scientists, analysts, and other stakeholders to understand data requirements and implement robust solutions. Your technical skills and proactive approach will be critical in optimizing data processes and ensuring data quality and reliability. Ready to make an impact? Apply now and help us build scalable data solutions that power critical analytics across our organization! Required Combination of Knowledge and Skill 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 Strong problem solving and analytical skills. Solid experience in developing and managing data pipelines, ETL processes, and data architecture. Proficiency in programming languages such as SQL and Python, and experience with big data technologies like Apache Spark or Hadoop. Experience with database management systems, both relational and non-relational. Understanding of data modeling and warehousing principles. Ability to collaborate effectively with data scientists, analysts, and other technical and non-technical stakeholders. Good communication and interpersonal skills, capable of explaining complex data concepts to diverse audiences. A proactive approach to learning new technologies and improving existing processes. Compensation and Benefits Health, Dental, Vision & Voluntary Benefits Disability, Life & Accident Insurance 401(k) Savings program & Capital Accumulation Plan Personal & Medical Time Off Paid Parental Leave Flexible Work Schedules Tuition Assistance for Eligible Employees Student Debt Benefit Personal Time Off Sell Program Employee Assistance Program (EAP) Wellness Program Visit us online to view all NNL benefits! Pay Range $95,700.00 - $149,600.00 annually Salary information provided is a general guideline only. Annual salary is based upon candidate experience and qualifications, as well as market and business considerations. Back to results