Senior Data Engineer: Scalable Pipelines & ETL

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

Benefits offered by this job

Health, dental, vision & voluntary

401(k) Savings program

Personal & Medical Time Off

Paid Parental Leave

Flexible Work Schedules

Tuition Assistance

Student Debt Benefit Time Off

Employee Assistance Program

Wellness Program

Job summary

Naval Nuclear Laboratory is seeking an Advanced Data Engineer to design, build, and maintain scalable data pipelines and architectures in the Data Engineering Unit. You will collaborate with data scientists and analysts to understand data requirements and implement robust, high-quality data solutions.

The role emphasizes data quality, reliability, and efficient data flows, with opportunities to work on modern data technologies and cross-functional teams across the organization.

Qualifications

• Bachelors with 4+ years relevant experience, Masters with 2+ years, or Doctorate in related field.
• Advanced Reactor Training Engineer, Refueling Engineer, or RPCO Engineer at the company also qualifies.

Responsibilities

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

Skills

Data pipelines

ETL processes

Data architecture

SQL

Python

Big data technologies

Relational databases

NoSQL databases

Data modeling

Warehousing

Stakeholder collaboration

Communication

Education

Bachelor's degree in engineering or science

Master's degree in engineering or science

Doctorate in engineering or science

Tools

Apache Spark

Hadoop

Relational databases

NoSQL databases

Job description

Naval Nuclear Laboratory is seeking an Advanced Data Engineer to design, build, and maintain scalable data pipelines and architectures in the Data Engineering Unit. You will collaborate with data scientists and analysts to understand data requirements and implement robust, high-quality data solutions.

The role emphasizes data quality, reliability, and efficient data flows, with opportunities to work on modern data technologies and cross-functional teams across the organization.