Data Engineer - MLOps

Overview

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.

Key Responsibilities in this role:

• 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

How We Work:

• Mission-Critical Development:
  • Design, develop, test, and deploy software applications that directly contribute to the nation’s mission objectives.
  • Collaborate with Government and Industry partners to understand mission needs, requirements, and translate them into robust and scalable software solutions.
• Innovative Problem Solving:
  • Tackle complex technical challenges with creativity and innovation.
  • Propose and implement solutions that go beyond conventional approaches, ensuring the software we deliver is both efficient and impactful.
• End-to-End Ownership:
  • Take ownership of the entire software development lifecycle, from initial concept to deployment.
  • Ensure the reliability, security, and performance of mission-critical software systems.
• Collaborative Teamwork:
  • Work in an agile environment with multidisciplinary teams, including software engineers, cloud engineers, machine learning engineers, data scientists/domain experts, UX/UI, front-end developers, scrums masters, product owners, and most importantly, USERS.
  • Participate in code reviews and knowledge-sharing sessions to enhance the overall team skill set.
• Continuous Learning:
  • Stay up-to-date with industry trends and emerging technologies to bring innovative ideas to the table.
  • Actively participate in training and development opportunities to enhance your skills and contribute to the team's growth.
  • Have opportunities to attend conferences and engage in industry events.

• Programming & Scripting – Python, C#/.Net, Bash, Powershell, JavaScript, typescript, [Java, C/C++]
• Platforms – AWS, Azure, On-Prem, [IoT/ICS, GCP]
• Development/Lifecycle – Agile/Scrum/Kanban/others, Gitlab/Atlassian, CI/CD & Dev Sec Ops
• Paradigms – Rapid prototypes with ad-hoc CSP managed services, well-architected solutions using Infrastructure as Code, compliant deployments in highly-regulated environments
• Data & Storage – S3,…