Senior Data Engineer - Seattle

OverviewProtecting U.S. residents and visitors is among our nation’s highest priorities. As adversaries gain access to sophisticated technologies and materials, the threats grow more dynamic and complex—from cyber and nuclear to chemical and biological weapons of mass effect and other forms of terrorism. The PNNL national security mission employs our researchers, tools, and technologies to play a key role in advancing the ability to identify and secure nuclear materials, detect weapons of mass effect, manage nonproliferation treaties, secure our nation's borders, and protect critical infrastructures. PNNL’s scientific discovery and capabilities—rooted in innovative theory, methods, algorithms, and tools—are enabling stronger, more resilient technologies and systems to safeguard national security. Coupled with decades of radiological and nuclear materials expertise, advanced computing and threat analysis capabilities, and a broad fundamental science base, we are identifying and countering emerging threats that have significant impact at home and around the globe.Do you want a career that you can look back on and say to yourself ‘I did something that mattered’? Are you tired of supporting efforts that drive corporate profits? If you answered yes, come to PNNL. As a member of PNNL’s Software Engineering and Architectures (SEA) team you will 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.ResponsibilitiesIdentify mission challenges and formulate engineering solutions methodicallyEmbrace software engineering excellence and delivering quality results at scaleEmploy expertise with a high-level programming language such as PythonApply good design and innovative problem-solving skills to solve challenging technical problemsStay current about data management and database technology developmentsInitiate personal direction and goalsPossess interest and/or experience mentoring junior scientists and engineersDemonstrate outstanding verbal and written communication skills and the ability to work in a collaborative environmentBe passionate and self-motivated with good time management skillsQualificationsMinimum Qualifications: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 experiencePreferred Qualifications:Degree in computer science, software engineering, or related field5+ years of experience in designing or deploying large-scale and high-performance ETL pipelines and analytics5+ years Python or other software development experienceStrong understanding of software engineering and data management best practicesStrong cloud architecture and implementation experienceCloud and database certifications are a plusFamiliar with machine learning algorithms with hands-on experience in machine learning pipeline development is a plusActive Federal Q Clearance and ability to maintain such clearanceIf this sounds like you, come and join a team of 90+ mission driven software and data engineers who come to work every day to do something that makes a difference.

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