Data Engineer

the Naval Nuclear Laboratory
West Mifflin, PA, United States
8 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Compensation
$95,700.0 - $149,600.0
Working hours
Regular working hours

Tech stack

Big Data Databases Data Architecture Information Engineering Extract Transform Load (ETL) Apache Hadoop Python (Programming Language) SQL Databases Apache Spark Data Pipelines

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.

Requirements

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.

Benefits & conditions

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.

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