Senior Data Engineer - Seattle

$134,500 - $219,500/Yr

Pacific Northwest National Laboratory - Seattle, WA

Full-time - Mid Level

Remote - Seattle, WA

Professional, Scientific, and Technical Services

About the position

The Senior Data Engineer at Pacific Northwest National Laboratory (PNNL) plays a vital role in developing advanced software, scalable data architecture, and AI/ML solutions to address complex national security challenges. This position involves working with a multidisciplinary team to create innovative solutions that enhance the ability to identify and secure nuclear materials, detect weapons of mass effect, and protect critical infrastructures. The role emphasizes mission-critical development, innovative problem-solving, and continuous learning in a collaborative environment.

Responsibilities

• Identify mission challenges and formulate engineering solutions methodically
• Embrace software engineering excellence and deliver quality results at scale
• Employ expertise with a high-level programming language such as Python
• Apply good design and innovative problem-solving skills to solve challenging technical problems
• Stay current about data management and database technology developments
• Initiate personal direction and goals
• Possess interest and/or experience mentoring junior scientists and engineers
• Demonstrate outstanding verbal and written communication skills and the ability to work in a collaborative environment
• Be passionate and self-motivated with good time management skills

Requirements

• BS/BA and 5+ years of relevant work experience -OR-
• MS/MA and 3+ years of relevant work experience -OR-
• PhD with 1+ year of relevant experience
• Degree in computer science, software engineering, or related field
• 5+ years of experience in designing or deploying large-scale and high-performance ETL pipelines and analytics
• 5+ years Python or other software development experience
• Strong understanding of software engineering and data management best practices
• Strong cloud architecture and implementation experience
• Cloud and database certifications are a plus
• Familiar with machine learning algorithms with hands-on experience in machine learning pipeline development is a plus
• Active Federal Q Clearance and ability to maintain such clearance

Nice-to-haves

• Experience with AWS, Azure, and on-premise platforms
• Familiarity with Agile/Scrum/Kanban development methodologies
• Experience with CI/CD & DevSecOps practices
• Knowledge of Infrastructure as Code

Benefits

• Health insurance
• Flexible work schedules
• Telework options
• Medical insurance
• Dental insurance
• Vision insurance
• Health savings account
• Flexible spending accounts
• Basic life insurance
• Disability insurance
• Employee assistance program
• Business travel insurance
• Tuition assistance
• Supplemental parental bonding leave
• Surrogacy and adoption assistance
• Fertility support
• Company funded pension plan
• 401k savings plan
• Up to 120 vacation hours per year
• Ten paid holidays per year