Explore 6 python data engineer jobs from 2 hiring companies in Boardman, OR, US. Filter by remote, salary, experience, and company, then open any listing to apply.

python-data-engineer

Python Data Engineer

Hermiston

Tri-Cities

Kennewick

Richland

Pasco

Sunnyside

West Richland

Umatilla

Grandview

Pendleton

Prosser

Toppenish

Irrigon

Finley

Benton City

Highland

Granger

Stanfield

Burbank

Python Data Engineer Jobs

Pacific Northwest National Laboratory

Caltech

Onsite

Hybrid

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.

Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community.<hr />Job SummaryLIGO Hanford Observatory (LHO) relies on continuous efforts by science and operations teams to characterize and improve i) the 4-km interferometer displacement sensitivity, and ii) improve uptime of the interferometer.  Both of these enterprises increase the rate of detection of gravitational wave events recorded by the network of detectors that includes LIGO, Virgo, and KAGRA interferometers. The successful candidate will collaborate with commissioning scientists and the Operations team at LIGO Hanford Observatory, as well as colleagues at LIGO Livingston Observatory, Caltech, and MIT. As LHO Scientist, you will have the opportunity to apply your skills to the design, development, implementation, and commissioning of technologies that increase the Advanced LIGO detector sensitivity and robustness. This is a highly multidisciplinary activity. Your interests and passions will play a role in defining on which research aspect you will focus primarily: design and implement technologies and algorithms (including feedback control design and implementation) to reduce the noise sources that limit the current detector sensitivity; model optical subsystems of the interferometer and compare to data; calibrate the interferometer length sensitivity; investigate and eliminate noise couplings from the external environment of the detector; carry out R&D projects for future gravitational wave detectors, are among the many topics that are involved in the duties of a LIGO Hanford Observatory Scientist. You will have the opportunity to apply your knowledge to many different parts and aspects of the Advanced LIGO detectors, and there will be many opportunities to develop new skills and expertise.Essential Job Duties<ul style="margin-top: 0.0in;" type="disc"><li class="MsoNormal" style="mso-list: l1 level1 lfo1;tab-stops: list 0.5in;">Improve the detector’s sensing and control systems that govern optical cavity lengths and angles, including both servo-control stability and noise performance. </li><li class="MsoNormal" style="mso-list: l1 level1 lfo1;tab-stops: list 0.5in;">Identify and minimize coupling of environmental disturbances into detector systems. </li><li class="MsoNormal" style="mso-list: l1 level1 lfo1;tab-stops: list 0.5in;">Develop techniques and algorithms to characterize and remove noise sources.</li><li class="MsoNormal" style="mso-list: l1 level1 lfo1;tab-stops: list 0.5in;">Study noise couplings, high-power operations, and thermal compensation via interferometer modeling.</li><li class="MsoNormal" style="mso-list: l1 level1 lfo1;tab-stops: list 0.5in;">Aid in the calibration of the length sensitivity of the interferometer.</li><li class="MsoNormal" style="mso-list: l1 level1 lfo1;tab-stops: list 0.5in;">Initiate or collaborate in writing research papers and technical presentations.</li><li class="MsoNormal" style="mso-list: l1 level1 lfo1;tab-stops: list 0.5in;">Present research results and highlights at national and international conferences.</li><li class="MsoNormal" style="mso-list: l1 level1 lfo1;tab-stops: list 0.5in;">After-hours and weekend work is occasionally required to support commissioning efforts. This position requires occasional travel to other LIGO installations and collaborating institutions in Livingston, Louisiana, Pasadena, California, Cambridge, Massachusetts, and possibly internationally.</li><li class="MsoNormal" style="mso-list: l1 level1 lfo1;tab-stops: list 0.5in;">Other duties as assigned.</li></ul>Basic Qualifications<ul style="margin-top: 0.0in;" type="disc"><li class="MsoNormal" style="mso-list: l0 level1 lfo2;tab-stops: list 0.5in;">A Ph.D. degree in Physics, Engineering, Optics or related field. In lieu of a Ph.D we will consider 6 years of relevant experience.</li><li class="MsoNormal" style="mso-list: l0 level1 lfo2;tab-stops: list 0.5in;">A minimum of 4 years of post-PhD experience in working with interferometers/optical systems, and/or scientific data analysis, and/or feedback control systems, and/or signal processing.</li><li class="MsoNormal" style="mso-list: l0 level1 lfo2;tab-stops: list 0.5in;">Experience working in a multi-disciplinary research environment. </li><li class="MsoNormal" style="mso-list: l0 level1 lfo2;tab-stops: list 0.5in;">Possess good verbal and written communication skills, a team attitude, and a high degree of professional discipline.</li><li class="MsoNormal" style="mso-list: l0 level1 lfo2;tab-stops: list 0.5in;">Experience in length calibration of kilometer-scale gravitational wave detectors.</li></ul>Preferred Qualifications<ul style="margin-top: 0.0in;" type="disc"><li class="MsoNormal" style="mso-list: l3 level1 lfo3;tab-stops: list 0.5in;">Proficiency with scientific computation, simulation and data analysis in python or similar language.</li><li class="MsoNormal" style="mso-list: l3 level1 lfo3;tab-stops: list 0.5in;">Experience with simulation software of optical and mechanical systems</li><li class="MsoNormal" style="mso-list: l3 level1 lfo3;tab-stops: list 0.5in;">Experience with the design or operation of interferometric gravitational-wave detectors. </li><li class="MsoNormal" style="mso-list: l3 level1 lfo3;tab-stops: list 0.5in;">Familiarity with good practice in mentoring students and/or staff.</li><li class="MsoNormal" style="mso-list: l3 level1 lfo3;tab-stops: list 0.5in;">Experience with precision electronic circuit design and/or characterization; with precision electro-mechanical system design and/or characterization; and with precision optical system design and/or characterization. </li></ul>Required Documents<ul style="margin-top: 0.0in;" type="disc"><li class="MsoNormal" style="mso-list: l2 level1 lfo4;tab-stops: list 0.5in;">Resume.</li><li class="MsoNormal" style="mso-list: l2 level1 lfo4;tab-stops: list 0.5in;">Cover letter summarizing your relevant experience and your interest in working at LIGO Hanford.</li></ul>

Research Scientist

PhD in Physics/Engineering or 6 years relevant experience; 4+ years post-PhD experience with interferometers/optical systems; strong communication; collaborative teamwork.

PhD in Physics, Engineering, Optics, or related field; or 6 years relevant experience. 4+ years post-PhD in interferometers/optical systems or related areas; strong communication and teamwork; willingness to travel.

Python Data Engineer Jobs in Boardman, OR, US

Python Data Engineer Jobs market signals in Boardman, OR, US

Companies appearing in this market

Work location mix in visible results

Related browse hubs