Senior Data Engineer - Scalable Pipelines & Big Data

Naval Nuclear Laboratory (FMP); West Mifflin (Allegheny County); On-site; USD 96,000 - 150,000; Full time

Benefits offered by this job

Health, Dental, Vision & Voluntary Ben

Disability, Life & Accident Insurance

401(k) Savings program & Capital Accum

Personal & Medical Time Off

Paid Parental Leave

Flexible Work Schedules

Tuition Assistance

Student Debt Benefit Personal Time Off

Employee Assistance Program (EAP)

Wellness Program

Job summary

The Naval Nuclear Laboratory (FMP) is seeking an Advanced Data Engineer to design, build, and maintain scalable data pipelines and architectures supporting analytics and operations. You will collaborate with data scientists, analysts, and other stakeholders to translate data needs into robust solutions and ensure data quality and reliability across systems.

Applicants should have a Bachelor’s in a related field with 4+ years of experience (or a Master’s with 2+ years, or a Doctorate).

Qualifications

• Bachelors degree in a related field with 4+ years of experience; or Masters with 2+ years; or Doctorate in related field; or advanced internal role.
• Strong problem solving, analytical skills, and ability to communicate with diverse audiences.

Responsibilities

• Design, build, and maintain scalable data pipelines and architectures.
• Collaborate with data scientists, analysts, and stakeholders to understand data requirements.
• Ensure data quality, reliability, and efficient data flow across systems.

Skills

SQL

Python

Apache Spark

Hadoop

ETL pipelines

Data architecture

Relational DBs

Non-relational DBs

Data modeling

Warehousing

Communication skills

Education

Bachelors in Engineering/Science

Masters in Engineering/Science

Doctorate in Engineering/Science

Advanced Reactor Training/Refueling/Field Engineer (internal)

Tools

Apache Spark

Hadoop

Relational Databases

Non-relational Databases

Job description

The Naval Nuclear Laboratory (FMP) is seeking an Advanced Data Engineer to design, build, and maintain scalable data pipelines and architectures supporting analytics and operations. You will collaborate with data scientists, analysts, and other stakeholders to translate data needs into robust solutions and ensure data quality and reliability across systems.

Applicants should have a Bachelor’s in a related field with 4+ years of experience (or a Master’s with 2+ years, or a Doctorate).