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Pacific Northwest National Laboratory · 2 weeks ago

Backend Software Engineer II (Seattle, WA)

Seattle, WA

Full-time

Onsite

Entry, Mid Level

$109K/yr - $164K/yr

2+ years exp

Pacific Northwest National Laboratory (PNNL) is a world-class research institution focused on national security and scientific research. They are seeking a motivated Software Engineer to join their AI and Data Analytics Division, where the role involves designing and optimizing scalable systems for processing intelligence data and contributing to cutting-edge projects that support national security.

Biomass EnergyEnergyGovernmentProduct ResearchSecurity

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Collaborate with experienced engineers to design, build, and optimize scalable systems for processing multi-modal intelligence data

Contribute to agentic AI implementations, work with LLM integrations, learn MLOps best practices on real-world applications

Build components for multi-INT fusion systems, develop GEOINT processing tools, contribute to threat analysis platforms

Develop data pipelines, build analytics workflows, contribute to cloud-native data architectures

Receive mentorship from senior engineers, participate in code reviews, learn enterprise software development practices

Qualification

PythonCloud architectureData engineeringMachine learningSQLVersion control (Git)Agile/ScrumEagerness to learnTeam collaboration

Required

PhD -OR-

MS/MA -OR-

BS/BA and 2 years of relevant experience

U.S. Citizenship

Ability to obtain and maintain a federal security clearance

Pre-employment drug testing and post-employment random drug testing

Preferred

Degree in computer science, software engineering, or related field

Experience in building and deploying petabyte size large-scale and high-performance ETL pipelines and analytics

Demonstrated proficiency in Python and least one other language (C#/.NET, C++, Go)

Experience collaborating with a team of software engineers to design, build, and deliver complex software applications

Strong understanding of software engineering and data management best practices

Experience in cloud architecture (AWS, Azure, GCP) and implementation

Possession of professional certifications in cloud technologies or database certifications

Familiarity with machine learning algorithms with hands-on experience in machine learning pipeline development

Experience delivering software solutions for agencies such as the Department of Energy, Department of Homeland Security, Department of Defense, or National Nuclear Security Administration

Possession of an active Federal Q Clearance