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Python Data Engineer Jobs

Pacific Northwest National Laboratory

BECU

Onsite

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Remote

Overview <div>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.</div><div> </div><div>Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. <span data-ccp-charstyle="normaltextrun" data-ccp-charstyle-defn="{"ObjectId":"ac0262f4-8a9e-5820-b908-2d943c5f7113|1","ClassId":1073872969,"Properties":[201342446,"1",201342447,"5",201342448,"1",201342449,"1",469777841,"Calibri",469777842,"Arial",469777843,"Calibri",469777844,"Calibri",201341986,"1",469769226,"Calibri,Arial",268442635,"22",469775450,"normaltextrun",201340122,"1",134233614,"true",469778129,"normaltextrun",335572020,"1",469778324,"Default Paragraph Font"]}">In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. <div>The National Security Directorate (NSD) drives science-based, mission-focused solutions to take on complex, real-world threats to our nation and the world.</div><div> The AI and Data Analytics Division, part of the NSD, 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. </div></div> Responsibilities PNNL is seeking a Data Scientist II - AI Assurance Researcher who has experience in understanding, exploring, and manipulating the internal mechanics and behaviors of AI models and can provide valuable insights into the decision boundaries and mathematical fingerprints of data properties. The selected candidate should have extensive experience training models, accessing and working with data embeddings, the ability to derive theoretical queries from empirical results, and demonstrate the capacity to translate research papers and findings into mission relevant insights and tools. Key Responsibilities:<ul style="margin-top: 0in;"><li style="margin-bottom: 0in;">Designs and executes rigorous ML experiments following community best practices, including large-scale training and evaluation on HPC infrastructure.</li><li style="margin-bottom: 0in;">Evaluates AI systems across multiple dimensions, including standard performance metrics, generalization, robustness, and out-of-distribution behavior.</li><li style="margin-bottom: 0in;">Analyzes the internal structures and representations of deep learning models, with emphasis on large language models and large vision models.</li><li style="margin-bottom: 0in;">Assesses empirical results to identify trends, inform research direction, and recommend next steps.</li><li style="margin-bottom: 0in;">Writes high-quality, well-documented research code that supports reproducibility and collaboration.</li><li style="margin-bottom: 0in;">Contributes to publications and technical reports that communicate findings to both internal and external audiences.</li><li style="margin-bottom: 0in;">Collaborates with senior researchers, engineers, and cross-functional teams to integrate research into broader systems and workflows.</li><li style="margin-bottom: 0in;">Conducts work in secure environments with adherence to operational security requirements.</li></ul>This position is based in either Richland, WA or Seattle, WA and requires an onsite presence. Qualifications Minimum Qualifications:<ul><li>BS/BA and 2 years of relevant experience -OR-</li><li>MS/MA -OR-</li><li>PhD</li></ul>Preferred Qualifications:<ul><li>Degree in computer science, engineering, mathematics, or a related field.</li><li>Familiarity with the current ML research landscape, particularly in explainable AI, adversarial machine learning, AI safety, and the science of deep learning.</li><li>Hands-on experience analyzing the internal structures of deep learning models, particularly large language models and large vision models.</li><li>Proficiency in PyTorch and associated deep learning libraries.</li><li>Experience designing and executing experiments on HPC systems.</li><li>Experience in translating research prototypes into deployable tools and capabilities.</li><li>Demonstrated strong communication and collaboration skills, with the ability to work effectively in a multi-disciplinary team environment.</li></ul> Hazardous Working Conditions/Environment Not applicable.  Additional Information This position requires the ability to obtain and maintain a federal security clearance. A security clearance background investigation includes review of your employment, education, financial, and criminal history, as well as interviews with you and your personal references, neighbors, and co-workers to determine trustworthiness, reliability, and loyalty to the United States.  The investigation also examines your foreign connections, drug and alcohol use, foreign influence, and overall conduct.  Requirements:<ul type="disc"><li>U.S. Citizenship</li><li>Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B.</li><li>Drug Testing: All Security Clearance positions are Testing Designated Positions, which means that the applicant selected for hire is subject to pre-employment drug testing, and post-employment random drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP). </li></ul>Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy if non-use of illegal drugs, including marijuana, for 12 months cannot be demonstrated. Testing Designated Position This position is a Testing Designated Position (TDP). The candidate selected for this position will be subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program.  About PNNL Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!  At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. Commitment to Excellence and Equal Employment Opportunity Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at <a href="mailto:careers@pnnl.gov" target="_blank" rel="noopener">careers@pnnl.gov</a>. Drug Free Workplace PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug.  If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn.  Security, Credentialing, and Eligibility Requirements As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication.  The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates:If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential. Mandatory Requirements Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a “country of risk” without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. Rockstar Rewards 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.* Research Associates excluded.**All benefits are dependent upon eligibility. <a href="https://careers.pnnl.gov/rockstar-rewards" target="_blank" rel="noopener">Click Here For Rockstar Rewards</a> Notice to Applicants PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual’s relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. Minimum Salary USD $114,000.00/Yr. Maximum Salary USD $182,100.00/Yr.

Data Scientist II - AI Assurance Researcher

Data Scientist

Degree in computer science, engineering, mathematics, or related field; 2+ years experience or higher degree; strong ML, PyTorch, and HPC skills.

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 directorates related to Mission Support & Operations include Office of General Counsel, Business Services, Communications and External Engagement, Operational Systems, Communications and Information Technology, and Performance Management.  At PNNL, our Computing and Information Technology organization is redefining how we work and innovate by reimagining the digital workplace. We empower research and streamline operations—making both faster, smarter, and more efficient—so our professionals can tackle some of the world's toughest challenges in science, energy, and national security. Our experts in AI, cybersecurity, design, and engineering work side by side, using real-time insights and human-centered design to break down barriers. Ready to make your mark on tomorrow? Come work with us. In support of PNNL's mission, Digital Platforms collaborates closely with our business and technology partners to build and maintain innovative software solutions and robust data and analytics capabilities. We aim to be a strategic partner in delivering cutting-edge enterprise solutions that drive innovation and improve the way our staff work across the PNNL digital workplace. Our forward-thinking, agile teams leverage cloud technologies, DevSecOps, and AI to modernize existing platforms and assist in the creation of novel solutions. By integrating commercial products, custom-developed and low-code solutions, we ensure our digital platforms are ready for the challenges and opportunities of tomorrow. Responsibilities We are seeking a motivated and collaborative Azure Databricks Engineer to build and support data pipelines using Python, SQL, and Spark. You’ll help move legacy jobs to Databricks, monitor and troubleshoot workflows, and collaborate with data and analytics teams to deliver secure, well-documented datasets. This role offers hands-on growth with Azure services, CI/CD, and governance alongside senior engineers. Your Responsibilities:<ul><li>Build and maintain Databricks notebooks, jobs, and Delta tables across bronze/silver/gold layers.</li><li>Develop pipelines using Python, SQL, and Spark; improve ETL/ELT performance and reliability.</li><li>Monitor and troubleshoot jobs, clusters, and storage connections (e.g., ADLS, Key Vault).</li><li>Help migrate legacy pipelines to Databricks and document designs and workflows.</li><li>Collaborate with data engineers, BI developers, and analysts to refine datasets.</li><li>Apply security and governance standards (e.g., access controls, Unity Catalog).</li><li>Contribute to CI/CD and testing practices to improve quality and repeatability.</li><li>Learn new platform features and tools; pursue relevant certifications.</li></ul> Qualifications Minimum Qualifications:<ul><li>BS/BA and 2 years of relevant experience -OR-</li><li>MS/MA -OR-</li><li>PhD</li></ul>Preferred Qualifications:<ul><li>2–4 years in cloud data engineering or analytics; 1–2 years with Azure Databricks.</li><li>Practical experience with Python, SQL, and Spark.</li><li>Basic understanding of lakehouse concepts (bronze/silver/gold) and dimensional modeling.</li><li>Experience with Spark or other distributed compute frameworks.</li><li>Exposure to CI/CD (Azure DevOps or GitHub Actions).</li><li>Awareness of Azure security and governance practices.</li><li>Familiarity preparing data for reporting (e.g., Power BI).</li><li>Certifications: Databricks Data Engineer, Azure Data Engineer, or related.</li></ul> Additional Information This position involves access to sensitive systems and information. U.S. Citizenship is required. Pacific Northwest National Laboratory is subject to the Department of Energy Unclassified Foreign Visits & Assignments Program site, information, technologies, and equipment access requirements. Testing Designated Position This is not a Testing Designated Position (TDP). About PNNL Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!  At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. Commitment to Excellence and Equal Employment Opportunity Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at <a href="mailto:careers@pnnl.gov" target="_blank" rel="noopener">careers@pnnl.gov</a>. Drug Free Workplace PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug.  If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn.  Security, Credentialing, and Eligibility Requirements As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication.  The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates:If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential. Mandatory Requirements Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a “country of risk” without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. Rockstar Rewards 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.* Research Associates excluded.**All benefits are dependent upon eligibility. <a href="https://careers.pnnl.gov/rockstar-rewards" target="_blank" rel="noopener">Click Here For Rockstar Rewards</a> Notice to Applicants PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual’s relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. Minimum Salary USD $109,000.00/Yr. Maximum Salary USD $163,600.00/Yr.

Azure Databricks Engineer

BS/BA with 2+ years OR MS/MA ORPhD; experience with Python, SQL, Spark; Azure Databricks; cloud data engineering; CI/CD; governance; Power BI familiarity

Software Engineer II

Software Engineer

PhD or MS/MA or BS/BA with 2+ years relevant experience; cloud, AI/ML, data pipelines, and production software development knowledge preferred

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 Physical and Computational Sciences Directorate's (PCSD’s) strengths in experimental, computational, and theoretical chemistry and materials science, together with our advanced computing, applied mathematics and data science capabilities, are central to the discovery mission we embrace at PNNL. But our most important resource is our people—experts across the range of scientific disciplines who team together to take on the biggest scientific challenges of our time.   The Advanced Computing, Mathematics, and Data Division (ACMDD) focuses on basic and applied computing research encompassing artificial intelligence, applied mathematics, computing technologies, and data and computational engineering. Our scientists and engineers apply end-to-end co-design principles to advance future energy-efficient computing systems and design the next generation of algorithms to analyze, model, understand, and control the behavior of complex systems in science, energy, and national security.  Responsibilities <ul><li>Data Preparation & Analysis: Clean, transform, and integrate structured and unstructured datasets and documents, including equipment datasheets and ArcGIS-based spatial data, from environmental and energy systems domains.</li><li>Power Grid Systems, Simulation & Resilience: Knowledge of power grid systems and resilience, with experience applying agentic AI to model power grid simulations, analyze grid-related problems, and support more efficient and reliable operational decision-making.</li><li>Data Engineering & Pipeline Architecture: Design scalable data systems (ETL, data lakes, data meshes) that support large-scale legislation, regulatory, and legal document workflows.</li><li>Software Engineering & DevOps: CI/CD, testing, version control, and open-source practices enabling reliable, reproducible systems across research and production.</li><li>Computer Vision & Image Analysis: Develop and apply computer vision methods for crystallography workflows and metadata processing, including image analysis, object detection, tracking, segmentation, and automated interpretation, to enable automation of light source beamline operations in scientific and real-world environments.</li><li>Generative AI & Foundation Models: Development and evaluation of large-scale generative AI systems, including fine-tuning, agents, tool use, and optimization for robustness, alignment, and efficiency. </li><li>Agentic AI Systems & Autonomous Workflows: Design and deploy scalable agentic AI systems with autonomous workflows, dynamic tool use, and complex decision-making to support advanced scientific and operational tasks.</li></ul> Qualifications Minimum Qualifications:<ul><li>Candidates must have received a Master’s degree within the past 24 months or within the next 8 months from an accredited college or university.  </li></ul>Preferred Qualifications:<ul><li>Masters degree in Computer Science, Data Science, Applied Mathematics, Electrical Engineering, Computational Engineering, or a closely related field.</li><li>Prior research experience, including internship experience within a national laboratory setting.</li><li>Experience in data preparation, integration, and applications involving large language models.</li><li>Strong technical computing skills in Python, with proficiency in NumPy or similar scientific computing frameworks.</li><li>Ability to translate ambiguous or evolving technical objectives into clear, actionable analytical approaches.</li><li>Experience working in applied research settings or collaborative R&D environments.</li><li>Demonstrated ability to work effectively within interdisciplinary and geographically distributed teams, using a collaborative and solutions‑oriented approach.</li></ul> Hazardous Working Conditions/Environment Not Applicable. Testing Designated Position This is not a Testing Designated Position (TDP). About PNNL Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!  At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. Commitment to Excellence and Equal Employment Opportunity Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at <a href="mailto:careers@pnnl.gov" target="_blank" rel="noopener">careers@pnnl.gov</a>. Drug Free Workplace PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use.  Under federal law, marijuana remains an illegal drug.  If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn.  Security, Credentialing, and Eligibility Requirements As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication.  The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates:If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential. Mandatory Requirements Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a “country of risk” without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. Rockstar Rewards 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. * Research Associates excluded. **All benefits are dependent upon eligibility. <a href="https://careers.pnnl.gov/rockstar-rewards" target="_blank" rel="noopener">Click Here For Rockstar Rewards</a> Notice to Applicants PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual’s relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. Minimum Salary USD $80,500.00/Yr. Maximum Salary USD $104,700.00/Yr.

Post Masters Research Associate - AI for Scientific and Energy Systems

Post Masters Research Associate

Master’s degree required within 24 months or within the next 8 months; preferred fields include CS, data science, mathematics, EE, computational engineering; experience with data prep, large language models; Python with NumPy.

Is it surprising to hear that a financial institution of 1.5 million members and over $30 billion in managed assets say that success comes from focusing on people, not profits? Our “people helping people” philosophy has guided us since 1935, driving our deep commitment to serving our members, communities, and each other. When you join our team, you become part of a purpose-driven organization where your work makes a real difference. While we’re proud of our history, we’re even more excited about our future. With business and technology transformation on the horizon, there’s never been a better time to be part of BECU.PAY RANGEThe Target Pay Range for this position is $141,800.00-$173,300.00 annually. The full Pay Range is $110,100.00 - $204,900.00 annually. At BECU, compensation decisions are determined using factors such as relevant job-related skills, experience, and education or training. Should an offer for employment be made, we will consider individual qualifications. In addition to your salary, compensation incentives are available for the hired applicant. Incentives are performance based and targets vary by role.BENEFITS – because people helping people starts with supporting you<ul><li>401(k) Company Match (up to 3%)</li><li>4% annual contribution to your 401(k) by BECU</li><li>Medical, Dental and Vision (family contributions as well)</li><li>PTO Program &#43; Exchange Program</li><li>Tuition Reimbursement Program</li><li>BECU Cares volunteer time off &#43; donation match</li></ul><h2>IMPACT YOU’LL MAKE:</h2>In this role, you’ll strengthen BECU’s engineering capabilities by designing and delivering scalable, secure software that directly enhances the digital experiences our members rely on. You’ll apply engineering rigor, architectural thinking, and hands‑on development leadership to accelerate MDX priorities. You’ll shape how we build systems, mentor developers, and influence engineering standards across the organization. Your work will improve reliability, performance, and long-term technical health across our platforms. Through your contributions, you’ll help advance BECU’s mission to improve the financial well‑being of our members. To join our dynamic team, we require candidates to be residents of WA, OR, ID, AZ, TX, GA, SC, NC, CA or VA. If you’re located in Washington state and within a reasonable driving distance from Tukwila, we are requesting that you come into our HQ on Tuesdays &amp; Wednesdays.  For those candidates that live outside the commute distance of TFC and in any of our approved remote work locations, this role will be remote. Remote or onsite, we are committed to ensuring you are fully engaged and included in our collaborative environment.  <h2>WHAT YOU’LL DO:</h2><ul><li>Design &amp; Develop Software:  Build scalable, resilient, and secure services while developing prototypes, proofs of concept, and production‑ready features using modern engineering practices.</li><li>Lead Engineering Workstreams:  Guide small to medium teams through designing, building, testing, and delivering system components and services.</li><li>Drive Code Quality:  Model BECU’s coding standards, provide thorough code reviews, and champion clean, maintainable design principles.</li><li>Implement Technical Improvements:  Identify opportunities to modernize design, code, and system structure, and drive enhancements—including greenfield initiatives.</li><li>Contribute to Architecture:  Collaborate with architects and product owners to define technical direction, roadmaps, and long‑term engineering strategy.</li><li>Mentor &amp; Develop Others:  Coach junior developers and SDETs through pairing, feedback, and knowledge‑sharing.</li><li>Automate &amp; Optimize:  Lead automation and process‑streamlining efforts that support operational excellence.</li><li>Collaborate &amp; Communicate:  Share technical insights across engineering teams and clearly communicate complex concepts to technical stakeholders.</li><li>Ensure Secure Development:  Apply secure coding practices and use static analysis tools to identify and resolve vulnerabilities.</li><li>Own the Full SDLC:  Contribute to analysis, design, coding, debugging, testing, documentation, and operational hand‑off.</li><li>Work With Data Systems:  Build and maintain data models, database scripts, and migrations; develop solutions for large datasets and analytics workflows.</li></ul>This isn’t just about ticking off tasks on a list. It&#39;s about making a significant, positive change in BECU’s journey, where your contributions are valued, and your growth is continually fostered.<h2></h2><h2>WHAT YOU’LL GAIN:</h2><ul><li>A meaningful voice in shaping engineering direction, patterns, and best practices across the organization.</li><li>Opportunities to lead, mentor, and build the capabilities of fellow developers.</li><li>Close collaboration with architects, product owners, analysts, and cross‑functional technical partners.</li><li>Exposure to cloud‑native technologies, CI/CD, automation, observability, and distributed systems.</li><li>Work that supports member‑first digital experiences and aligns with BECU’s mission‑driven purpose.</li><li>Freedom to explore, prototype, and influence emerging technologies and engineering approaches.</li><li>A culture that invests in continuous learning and technical growth.</li></ul><h2></h2><h2>QUALIFICATIONS:</h2><h3>Minimum Qualifications:</h3><ul><li>Bachelor’s degree in Computer Science or related discipline, or equivalent work experience required.</li><li>Minimum five years of experience designing software and writing production code in a team environment required.</li><li>Deep understanding of Secure Development best practices, demonstrated by regular use of static code analysis tools to explain and correct secure coding flaws required.</li><li>Proven ability to deliver highly scalable solutions in multiple programming languages and technical environments over the entire product lifecycle (from ideation to retirement) required.</li><li>Demonstrated expertise with one of the following required: .NET, C#, node.js and modern JavaScript Frameworks in TypeScript or JavaScript (React, Angular, etc.), or Python.</li><li>System administration and automation with PowerShell or bash required.</li><li>Knowledge of Open Source (OSS) technologies and libraries required.</li><li>Experience with public cloud (Azure/AWS/Google Cloud) technologies required.</li><li>Deep experience in one of the following domains: server-side web dev, modern client-side web dev, REST/web services, large scale data analytics using Machine Learning frameworks, networking, and service mesh required.</li><li>Expertise with SOLID design principles, Object-Oriented Programming and Design required.</li><li>Experience with SOA patterns and distributed systems design required.</li><li>Expertise with Continuous Integration and Continuous Delivery systems/tools such as Azure DevOps Services, GitHub Actions, Jenkins, or TeamCity.</li><li>Proficiency at building build/deployment pipelines in YAML required.</li><li>Deep expertise in Test Driven Development concepts, methods, and tools.</li><li>Demonstrated experience in unit testing, integration testing or performance/load testing required.</li><li>Experience using git, including code reviews, pull requests, and branching standards such as Git Flow or Trunk-Based Development required.</li><li>Experience presenting in front of technically adept audiences required.</li><li>Experience with SQL, large datasets, data warehousing and sophisticated ETL processes, analytics engines required.</li><li>Proven ability to stay current with emerging technologies and applications through work or continuing education required.</li><li>Proven experience leading and collaborating within teams, including business unit teams, through all aspects of the SDLC required.</li><li>Proficient verbal and written communication skills required.</li><li>Full time hours required.</li></ul><h3>Desired Qualifications:</h3><ul><li>Knowledge of cloud‑hosted SQL‑based data stores and NoSQL systems preferred.</li><li>Experience with full‑stack development across both front‑end and back‑end technologies preferred.</li><li>Web &amp; Service development experience using .NET, C#, ASP.NET, MVC, and .NET Core preferred.</li><li>Experience with .NET and Java Spring Boot for service/API development preferred.</li><li>Experience with mobile technologies, including Angular, React Native, Flutter, Kotlin, and Java (Android) preferred.</li><li>Experience working as a Full‑Stack Senior Developer across modern UI frameworks, APIs, and database systems preferred.</li></ul><h2></h2><h2>JOIN THE JOURNEY</h2>Ready to make an indelible impact? Eager to be a part of a collaborative and innovative team where your ideas and contributions don’t just fill a role, but fuel the growth and success of BECU?<h2></h2><h2>EEO Statement:</h2> BECU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.

Sr Software Developer

Senior Software Developer

Five+ years designing software and delivering production code; strong secure development and cloud experience; multiple languages; strong CI/CD and data skills.

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