Data Engineer 2 - MLOps

Pacific Northwest National Laboratory • Richland, WA

76d • Onsite

About The Position

At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The National Security Directorate (NSD) drives science-based, mission-focused solutions to take on complex, real-world threats to our nation and the world. The AI and Data Analytics Division (AIDA), part of the National Security Directorate, combines profound domain expertise and creative integration of advanced hardware and software to deliver computational solutions that address complex data and analytic challenges. Working in multidisciplinary teams, we connect foundational research to engineering to operations, providing the tools to innovate quickly and field results faster. Our strengths are integrated across the data analytics lifecycle, from data acquisition and management to analysis and decision support. AIDA’s Operational Readiness and Enablement (ORE) Team is looking for a Data Engineer (MLOps) to help play a crucial role in developing cutting edge software, scalable data architecture & pipelines, and AI/ML solutions in support of some of the nation’s biggest and most complex challenges.

Requirements

• PhD -OR- MS/MA -OR- BS/BA and 2 years of relevant experience

Nice To Haves

• Degree in computer science, software engineering, or related field
• 2+ years of experience in designing or deploying large-scale and high-performance ETL and ELT pipelines and analytics
• 2+ 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
• Familiar with machine learning algorithms with hands-on experience in machine learning pipeline development
• Active Q Clearance and ability to maintain such clearance

Responsibilities

• Identify mission challenges and methodically formulate engineering solutions
• Demonstrate software engineering excellence and deliver high-quality results at scale
• Develop software using a high-level programming language such as Python
• Apply strong design principles and innovative problem-solving skills to complex technical challenges
• Stay current on advancements in data management and database technologies
• Take initiative in setting and pursuing personal goals and professional growth
• Mentor and support the development of junior scientists and engineers
• Communicate effectively, both verbally and in writing, and collaborate successfully in a team environment

Benefits

• Employees and their families are offered medical insurance, dental insurance, vision insurance, robust telehealth care options, several mental health benefits, free wellness coaching, health savings account, flexible spending accounts, basic life insurance, disability insurance, employee assistance program, business travel insurance, tuition assistance, relocation, backup childcare, legal benefits, supplemental parental bonding leave, surrogacy and adoption assistance, and fertility support.
• Employees are automatically enrolled in our company-funded pension plan and may enroll in our 401 (k) savings plan with company match.
• Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees