Data engineer jobs in Oregon

Each member of our Legacy community contributes in a meaningful way to the exceptional care we provide. As an Engineer, your expertise in maintaining and repairing physical plant systems, buildings, and equipment ensures our campus operates efficiently-creating a safe and welcoming environment for patients and visitors. If you're looking to join a healthcare team dedicated to improving lives, we encourage you to explore this opportunity. Responsibilities: Operates, maintains, and repairs physical plant systems, buildings, and equipment to ensure safe, efficient operation in support of patient care and facility services. Repairs and maintains equipment across all building areas to ensure optimal functionality and safety. Maintains building systems, structures, and fixtures in a clean, usable, and visually appealing condition that enhances comfort for patients, staff, and visitors. Demonstrates working knowledge of physical plant systems to support effective troubleshooting and repair. Operates and maintains fire safety and life safety systems to ensure full compliance with safety regulations and organizational standards. Conducts routine testing of fire alarms, sprinkler systems, and other safety devices; participates in and leads fire drills. Prioritizes and completes maintenance requests and work orders in a timely manner to meet customer and operational needs. Prepares and processes appropriate documentation for all maintenance and repair work, including work orders, records, and service logs. Plans, purchases, and tracks materials required for completing assigned tasks; issues purchase order numbers and ensures proper documentation (e.g., packing slips, receipts). Maintains a clean and organized workspace within engineering areas and ensures proper storage of tools and equipment. Moves furniture and equipment as needed to support facility needs. Establishes clear, courteous, and timely communication with customers, co-workers, and supervisors to support collaboration and service excellence. Reports any unsafe conditions promptly to supervisors and contributes to maintaining a safe work environment. Participates in educational programs, in-service training, and ongoing development to stay current with best practices and code compliance. Qualifications: Education: High school graduate or equivalent Experience: Minimum four years work experience at journeyman level with comparable equipment and systems or completion of apprenticeship program. Hospital engineering experience preferred. Licensure: Current valid applicable state driver's license and a driving record that meets insurance carrier requirements. Limited Maintenance Industrial Electrician license preferred. Pay Range: USD $47.13 - USD $47.13 /Hr. Our Commitment to Health and Equal Opportunity: Our Legacy is good for health for Our People, Our Patients, Our Communities, Our World. Above all, we will do the right thing. If you are passionate about our mission and believe you can contribute to our team, we encourage you to apply-even if you don't meet every qualification listed. We are committed to fostering an inclusive environment where everyone can grow and succeed. Legacy Health is an equal opportunity employer and prohibits unlawful discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion or creed, citizenship status, sex, sexual orientation, gender identity, pregnancy, age, national origin, disability status, genetic information, veteran status, or any other characteristic protected by law. To learn more about our employee benefits click here: ********************************************************************

HYBRID ONISTE IN BEAVERTON, OR! MUST HAVE QUALTRICS EXP We're seeking a skilled and experienced Software Engineer who specializes in Qualtrics. This role will be part of a high-visibility, high-impact initiative to optimize and expand our Qualtrics environment. You'll play a key role in designing, developing, and maintaining scalable solutions that enhance user experience, streamline data collection, and improve reporting accuracy. The ideal candidate has a strong background in Qualtrics architecture, API integrations, and automation-plus a passion for creating efficient, user-friendly tools that empower teams to make data-driven decisions. What we're looking for: 3+ years of hands-on Qualtrics engineering or development experience Strong understanding of survey logic, workflows, APIs, and automation Experience with data visualization and analytics tools (Tableau, Power BI, etc.) Background in software engineering (JavaScript, Python, or similar) Ability to partner cross-functionally with researchers, analysts, and product teams

** At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that-our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital , WD and WD_BLACK Professional brands. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future. Today's exceptional challenges require your unique skills. Together, we can build the future of data storage. **Job Description** ESSENTIAL DUTIES AND RESPONSIBILITIES + **Business Partnership & Consulting** + Serve as the primary analytics partner to HR and business leaders, understanding their challenges and translating them into analytical solutions. + Provide insights and recommendations that inform decisions on talent strategy, workforce planning, retention, and employee experience. + Build strong relationships with HRBPs, COEs, and leadership teams to ensure alignment on priorities. + Experience advising, presenting to, and serving as a thought partner to senior executives. + **Analytics & Insights** + Develop dashboards, reports, and analyses on workforce metrics (e.g., attrition, DEI, engagement, recruiting, performance). + Translate complex data into clear, actionable insights with strong storytelling and visualization. + Deliver executive-ready materials that connect people data to business outcomes. + Partner cross-functionally with analytics and technical teams to ensure data accuracy, resolve quality issues, and maintain consistent, reliable insights. + **Advanced People Analytics** + Use statistical analysis, predictive modeling, and trend forecasting to identify workforce risks and opportunities. + Partner with HR Technology and Data teams to enhance data quality, governance, and reporting capabilities. + Lead initiatives to evolve people analytics from descriptive to predictive and prescriptive insights. + **Strategy & Enablement** + Guide stakeholders in building a data-driven culture within HR and across the business. + Drive adoption of self-service analytics platforms and democratize access to people insights. **Qualifications** REQUIRED + **Education & Experience** + Bachelor's or Master's in HR, Business, Data Analytics, Industrial/Organizational Psychology, Statistics, or a related field. + 6+ years of experience in People Analytics, HR Analytics, Workforce Planning, or related fields. SKILLS + **Technical Skills** + Strong expertise in data visualization tools (e.g., Tableau, Power BI, Workday People Analytics, Visier). + Advanced Excel, SQL, or Python/R for data analysis preferred. + Understanding of HR systems (Workday, SuccessFactors, etc.) and data structures. + **Business & Consulting Skills** + Exceptional ability to translate data into business insights and recommendations. + Strong stakeholder management, influencing, and storytelling skills. + Experience in partnering with senior leaders to drive data-informed decisions **Additional Information** Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal (************************************************************************************** " poster. Our pay transparency policy is available here (****************************************************** . Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be **12/2/2025** (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. \#LI- VV1 **Compensation & Benefits Details** + An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. + The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. + If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned. + You will be eligible to be considered for bonuses under **either** Western Digital's Short Term Incentive Plan ("STI Plan") or the Sales Incentive Plan ("SIP") which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Western Digital's Standard Terms and Conditions for Restricted Stock Unit Awards. + We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the Western Digital Savings 401(k) Plan. + **Note:** No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. **Notice To Candidates:** Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline (******************************************************************** or email ****************** .

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $206,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

SCT resources have a broad range of skills in different technologies. The large skill-set has been made possible by a conscious focus on strengthening our skills base. Every person selected for our team brings something new, something that adds to our offerings. We learn continuously, both on the job and through formal training programs. Company: SystemCanada | ******************** World wide office: Canada - USA - Australia - UK - South Africa - New Zealand - Ireland - Japan All resumes can be send directly to [email protected] Candidate must have legal work authorization to work in US. Job Title: ETL Architect Duration: 6months(extendable) Location: Portland, OR Job Description: • Minimum of 8+ years experience in: ETL design/development using Informatica ETL solutions • Very good knowledge of Oracle, SQL, UNIX and Shell Scripting etc. Knowledge in other databases like DB2, Teradata are good to have • Design, implement, and develop ETL Informatica processes against high-volume and complex data sources • Knowledge of Cognos reporting • Perform Quality Assurance, unit and system testing as well as complete documentation of deliverables • Experience designing, documenting ETL and performance tuning • Need to have good knowledge in EME, multifile system • Able to trouble shoot and create customized jobs • Experience with data cleansing and data quality processes

Looking for an extremely bright and budding Data Scientist who can work closely with a solid Engineering core team KEY RESPONSIBILITIES Provide data-based solutions of core problems with the help of AI and Machine Learning tools. Take ownership of building data modelling pipelines for scalable and continuous systems. Closely monitor and provide expertise on creating industry best Data Science curriculum and creating exciting project problem statements KEY SKILLS Sharp problem-solving skills with urgency to deliver best quality products along with an alignment with long-term vision of the company Very good hands-on with python and SQL (postgresql) Good working knowledge of backend development in REST Frameworks (Django) Good knowledge and hands-on with different Machine Learning tools and modelling frameworks (Pandas, Keras/Tensorflow, scikit learn, NLP) Excellent inter-personal skills to communicate and present ideas to different verticals and stakeholders. Good written and communication skills. Working knowledge of Data pipeline and data-science model deployment Bonus Points: * Ability to write great documentations Ability to make data driven decisions for any small thing Our Way Of Working * An opportunity to work on something that really matters. A fast-paced environment to learn and grow. High transparency in decision making. High autonomy; freedom to take risks, to experiment, and to fail. We promise a meaningful journey with smart people, with opportunities to learn & grow. Plus, you can sleep peacefully knowing you are impacting lives in a big way, every day!

REMOTE / FULL TIME Amira Learning accelerates literacy outcomes by delivering the latest reading and neuroscience with AI. As the leader in third-generation edtech, Amira listens to students read out loud, assesses mastery, helps teachers supplement instruction and delivers 1:1 tutoring. Validated by independent university and SEA efficacy research, Amira is the only AI literacy platform proven to achieve gains surpassing 1:1 human tutoring, consistently delivering effect sizes over 0.4. Rooted in over thirty years of research, Amira is the first, foremost, and only proven Intelligent Assistant for teachers and AI Reading Tutor for students. The platform serves as a school district's Intelligent Growth Engine, driving instructional coherence by unifying assessment, instruction, and tutoring around the chosen curriculum. Unlike any other edtech tool, Amira continuously identifies each student's skill gaps and collaborates with teachers to build lesson plans aligned with district curricula, pulling directly from the district's high-quality instructional materials. Teachers can finally differentiate instruction with evidence and ease, and students get the 1:1 practice they specifically need, whether they are excelling or working below grade level. Trusted by more than 2,000 districts and working in partnership with twelve state education agencies, Amira is helping 3.5 million students worldwide become motivated and masterful readers. About this role: We are seeking a Data Scientist with expertise in the domain of reading science, education, literacy, and NLP; with practical experience building and utilizing Gen AI (LLM, image, and/or video) models. You will help to create Gen AI based apps that will power the most widely used Intelligent Assistant in U.S. schools, already helping more than 2 million children. We are looking for strong, education focused engineers who have a background using the latest generative AI models, with experience in areas such as prompt engineering, model evaluation; data processing for training and fine-tuning; model alignment, and human-feedback-based model training. Responsibilities include: * Design methods, tools, and infrastructure to enable Amira to interact with students and educators in novel ways. * Define approaches to content creation that will enable Amira to safely assist students to build their reading skills. This includes defining internal pipelines to interact with our content team. * Contribute to experiments, including designing experimental details and hypothesis testing, writing reusable code, running evaluations, and organizing and presenting results. * Work hands on with large, complex codebases, contributing meaningfully to enhance the capabilities of the machine learning team. * Work within a fully distributed (remote) team. * Find mechanisms for enabling the use of the Gen AI to be economically viable given the limited budgets of public schools. Who You Are: * You have a background in early education, reading science, literacy, and/or NLP. * You have at least one year of experience working with LLMs and Gen AI models. * You have a degree in computer science or a related technical area. * You are a proficient Python programmer. * You have created performant Machine Learning models. * You want to continue to be hands-on with LLMs and other Gen AI models over the next few years. * You have a desire to be at a Silicon Valley start-up, with the desire and commitment that requires. * You are able to enjoy working on a remote, distributed team and are a natural collaborator. * You love writing code - creating good products means a lot to you. Working is fun - not a passport to get to the next weekend. Qualifications * Bachelor's degree, and/or relevant experience * 1+ years of Gen AI experience - preferably in the Education SaaS industry * Ability to operate in a highly efficient manner by multitasking in a fast-paced, goal-oriented environment. * Exceptional organizational, analytical, and detail-oriented thinking skills. * Proven track record of meeting/exceeding goals and targets. * Great interpersonal, written and oral communication skills. * Experience working across remote teams. Amira's Culture * Flexibility - We encourage and support you to live and work where you desire. Amira works as a truly distributed team. We worked remotely before COVID and we'll be working remotely after the pandemic is long gone. Our office is Slack. Our coffee room is Zoom. Our team works hard but we work when we want, where we want. * Collaboration - We work together closely, using collaborative tools and periodic face to face get togethers. We believe great software is like movie-making. Lots of talented people with very different skills have to band together to build a great experience. * Lean & Agile -- We believe in ownership and continuous feedback. Yes, we employ Scrum ceremonies. But, what we're really after is using data and learning to be better and to do better for our teachers, students, and players. * Mission-Driven - What's important to us is helping kids. We're about tangible, measured impact. Benefits: * Competitive Salary * Medical, dental, and vision benefits * 401(k) with company matching * Flexible time off * Stock option ownership * Cutting-edge work * The opportunity to help children around the world reach their full potential Commitment to Diversity: Amira Learning serves a diverse group of students and educators across the United States and internationally. We believe every student should have access to a high-quality education and that it takes a diverse group of people with a wide range of experiences to develop and deliver a product that meets that goal. We are proud to be an equal opportunity employer. The posted salary range reflects the minimum and maximum base salary the company reasonably expects to pay for this role. Salary ranges are determined by role, level, and location. Individual pay is based on location, job-related skills, experience, and relevant education or training. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, pregnancy, genetic information, marital status, military service, or any other status protected by law.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: + Design and develop models to extract entities, detect intents, and understand document structure + Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs + Evaluate model performance where ground truth is partial, uncertain, or evolving + Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out. **Qualifications** + 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models. + Proficiency with Python + Experience with the latest in language models (transformers, LLMs, etc.) + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow + Industry experience shepherding ML/AI projects from ideation to delivery + Demonstrated ability to influence company KPIs with AI + Demonstrated ability to navigate ambiguity **Bonus Experience** + Experience with document layout analysis (using vision, NLP, or both). + Experience with Spark/PySpark + Experience with Databricks + Experience in the healthcare industry **Responsibilities** + Play a key role in the success of our products by developing models for document understanding tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **After 3 Months, You Will...** + Have a strong grasp of technologies upon which our platform is built. + Be fully integrated into ongoing model development efforts with your team. **After 1 Year, You Will...** + Be independent in reading literature and doing research to develop models for new and existing products. + Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed. + Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

Who You'll Work With As a modern technology company, our Slalom Technologists are disrupting the market and bringing to life the art of the possible for our clients. We have passion for building strategies, solutions, and creative products to help our clients solve their most complex and interesting business problems. We surround our technologists with interesting challenges, innovative minds, and emerging technologies You will collaborate with cross-functional teams, including Google Cloud architects, data scientists, and business units, to design and implement Google Cloud data and AI solutions. As a Consultant, Senior Consultant or Principal at Slalom, you will be a part of a team of curious learners who lean into the latest technologies to innovate and build impactful solutions for our clients. What You'll Do * Design, build, and operationalize large-scale enterprise data and AI solutions using Google Cloud services such as BigQuery, Vertex AI, Dataflow, Cloud Storage, Pub/Sub and more. * Implement cloud-based data solutions for data ingestion, transformation, and storage; and AI solutions for model development, deployment, and monitoring, ensuring both areas meet performance, scalability, and compliance needs. * Develop and maintain comprehensive architecture plans for data and AI solutions, ensuring they are optimized for both data processing and AI model training within the Google Cloud ecosystem. * Provide technical leadership and guidance on Google Cloud best practices for data engineering (e.g., ETL pipelines, data pipelines) and AI engineering (e.g., model deployment, MLOps). * Conduct assessments of current data architectures and AI workflows, and develop strategies for modernizing, migrating, or enhancing data systems and AI models within Google Cloud. * Stay current with emerging Google Cloud data and AI technologies, such as BigQuery ML, AutoML, and Vertex AI, and lead efforts to integrate new innovations into solutions for clients. * Mentor and develop team members to enhance their skills in Google Cloud data and AI technologies, while providing leadership and training on both data pipeline optimization and AI/ML best practices. What You'll Bring * Proven experience as a Cloud Data and AI Engineer or similar role, with hands-on experience in Google Cloud tools and services (e.g., BigQuery, Vertex AI, Dataflow, Cloud Storage, Pub/Sub, etc.). * Strong knowledge of data engineering concepts, such as ETL processes, data warehousing, data modeling, and data governance. * Proficiency in AI engineering, including experience with machine learning models, model training, and MLOps pipelines using tools like Vertex AI, BigQuery ML, and AutoML. * Strong problem-solving and decision-making skills, particularly with large-scale data systems and AI model deployment. * Strong communication and collaboration skills to work with cross-functional teams, including data scientists, business stakeholders, and IT teams, bridging data engineering and AI efforts. * Experience with agile methodologies and project management tools in the context of Google Cloud data and AI projects. * Ability to work in a fast-paced environment, managing multiple Google Cloud data and AI engineering projects simultaneously. * Knowledge of security and compliance best practices as they relate to data and AI solutions on Google Cloud. * Google Cloud certifications (e.g., Professional Data Engineer, Professional Database Engineer, Professional Machine Learning Engineer) or willingness to obtain certification within a defined timeframe. About Us Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all. Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices. For this position the target base salaries are listed below. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The target salary pay range is subject to change and may be modified at any time. East Bay, San Francisco, Silicon Valley: * Consultant $114,000-$171,000 * Senior Consultant: $131,000-$196,500 * Principal: $145,000-$217,500 San Diego, Los Angeles, Orange County, Seattle, Houston, New Jersey, New York City, Westchester, Boston, Washington DC: * Consultant $105,000-$157,500 * Senior Consultant: $120,000-$180,000 * Principal: $133,000-$199,500 All other locations: * Consultant: $96,000-$144,000 * Senior Consultant: $110,000-$165,000 * Principal: $122,000-$183,000 EEO and Accommodations Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process. We are accepting applications until 12/31. #LI-FB1

At Butter Payments, we're on a mission to eliminate involuntary churn and make recurring payments seamless. Every year, billions of dollars are lost due to failed payments. Butter leverages machine learning, deep financial data partnerships, and behavioral insights to ensure the right payments go through at the right time-without friction. We're backed by world-class investors like Atomic, Norwest Venture Partners, SpringTride, Transpose Platform, and we're growing fast. The Problem Statement: You will work closely with Software Engineering, Machine Learning Engineers and Data Analysts. You help ingest, organize and enable Butter to continue to deliver value on the data we collect. We make sure it arrives in a timely manner, is organized and usable, and is of a high quality. Key to all the work Butter does. Problem Expanded: We ingest 3rd-party data from multiple payment providers, such as Stripe, clean it and normalize it for our schema and machine learning pipelines. We're seeking to build transformation and validation layers as far upstream as possible to ensure a smooth flow of data through our system. The transformation layer will make the data easier to work with for our reporting products and ML models, while the validation layer will ensure the data conforms to our expectations. For example: Is it null, NULL, or 'null'? Is 342 a valid country abbreviation code? As we expand our product offering and ingest data from additional companies and 3rd-party providers the complexity of the challenge will evolve over time, keeping the problem fresh. Scope: You'll get to architect our system and lay the foundation for the future from both a technology and a system design perspective. No longer will data show up without being tested and structured, as you'll create a system that checks its worst tendencies. You'll work closely with our ML and Eng team to ensure the design meets their requirements and that data properly flows through the system. Philosophies: * You strongly believe that action creates information. * You want to work on a small team and have lots of responsibility. * You look forward to being scrappy and enjoy overcoming challenges. Requirements: * 5+ years of experience delivering value through data at an early stage, high growth startup (ideally within the payments industry) * Prior experience with cloud environments such as AWS or GCP * Strong Data Modeling experience, and familiarity with different approaches (Intermediate and up) * Strong SQL skills * Strong Python skills * Prior experience with workflow orchestration tools (Prefectm, Airflow, Dagster) * Experience with distributed systems workflows (Temporal, AWS Step functions) * Experience with cloud OLAP providers and optimization (Snowflake, Redshift, BigQuery) * Experience with Kafka pub/sub patterns and data ingestion * Experience with data transformation patterns and common tools (dbt) $145,000 - $165,000 a year 145,000-165,000 (USD) We are focused on building a diverse and inclusive workforce. If you're excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply. * ------- Butter Payments is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Butter considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance. Please review our CCPA policies here.

Extensive knowledge of data principles, patterns, processes, and practices Any experience defining evolutionary data solutions and underlying technologies Experience with SQL database design, data modeling Analyze and organize raw data Build data systems and pipelines Evaluate business needs and objectives Interpret trends and patterns Conduct complex data analysis and report on results Demonstrated written and oral communication skills Basic understanding of network and data security architecture Strong knowledge of industry trends Knowledge in a minimum of two of the following technical disciplines: data warehousing, data management, analytics development, data science, application programming interfaces (APIs), data integration, cloud, servers and storage, and database management Experience building cost effective and performance driven solutions using elastic architectures in Microsoft Azure leveraging Cosmos, Azure Data Factory and Databricks Platforms. Experience with SQL and NoSQL applications on Big Data Platforms Desired Previous Experience/Education: Any experience with operational data science, machine learning or artificial intelligence solutions Any experience with data science solutions or platforms Data engineering certification (e.g IBM Certified Data Engineer) is a plus Key Responsibilities Essential Job Functions: Drive digital innovation by leveraging innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, NoSQL-based, and Cloud-based data platforms Define high-level migration plans to address the gaps between the current and future state Present opportunities with cost/benefit analysis to leadership to shape sound architectural decisions Lead the analysis of the technology environment to detect critical deficiencies and recommend solutions for improvement Promote the reuse of data assets, including the management of the data catalog for reference

Job DescriptionWe are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine learning and research. Your goal will be to help our company analyze trends to make better decisions. Responsibilities Identify valuable data sources and automate collection processes Undertake to preprocess of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Requirements and skills Proven experience as a Data Scientist or Data Analyst Experience in data mining Understanding of machine learning and operations research Knowledge of R, SQL, and Python; familiarity with Scala, Java, or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills BSc/BA in Computer Science, Engineering, or relevant field; a graduate degree in Data Science or other quantitative field is preferred

About the Company We are a renewable energy and ocean technology company committed to rapidly developing and deploying technologies that will ensure a sustainable future for Earth by unlocking the vast energy potential of its oceans. Our focus is on capturing civilizational levels of ultra-low-cost renewable energy for applications including computing and affordable renewable fuels delivered to shore. The company is a public benefit corporation headquartered in Portland, Oregon, and backed by leading venture capitalists, philanthropic investors, university endowments, and private investment offices. We operate as an idea meritocracy in which the best ideas change the company's direction on a regular basis. About the Job We are developing a core technology that will operate in the most extreme marine environments for years at a time without human maintenance or intervention. We are seeking a Data Engineer with strong software development skills to join our team developing next-generation ocean energy systems. You will work at the intersection of data analysis, simulation, and engineering-supporting the development of clean energy technologies designed to operate in some of the world's most challenging marine environments. In this role, you'll help build and maintain data analysis and simulation pipelines, support R&D with tools to process and interpret engineering datasets, and contribute to internal software used by cross-functional teams. You'll work closely with senior engineers and simulation experts, gaining exposure to real-world physics problems, computational tools, and large-scale scientific workflows. This is an opportunity for an early-career engineer or developer who's excited to contribute to a high-impact mission, write clean and maintainable code, and grow alongside experienced technical mentors. Our staff have worked at organizations such as SpaceX, Blue Origin, Boeing, Tesla, Apple, Virgin Orbit, Google, Amazon, Microsoft, New Relic, Bridgewater, Raytheon, Disney Imagineering, and the US Army and Air Force, as well as research universities, startups, and small companies across a range of industries. We are organized as a public benefit corporation and are backed by leading venture capital firms, private investors, philanthropic investors, and endowments. We strive to be the best engineering team on the planet and we compensate our team members accordingly. Responsibilities Develop and maintain data analysis tools to support engineering design, simulation, and testing workflows Clean, process, and analyze large datasets from CFD simulations, experiments, and field deployments Collaborate with senior engineers to extract insights from simulation results and translate them into actionable design feedback Write modular, well-documented code in Python to automate repetitive or computational workflows Assist in the development of internal software used for simulation pipeline orchestration and post-processing Support post-processing of CFD results using tools such as OpenFOAM, Star-CCM+, and ParaView Work with HPC or cloud compute environments to run and manage large simulation or data processing jobs Contribute to the development of internal documentation, best practices, and reusable analysis scripts Participate in code reviews, collaborative debugging sessions, and weekly team check-ins to share findings and progress Continuously learn new tools, frameworks, and domain-specific knowledge to grow within a fast-paced R&D team Required Qualifications Legal authorization to work in the United States. Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Physics, Applied Mathematics, or a related field Proficiency in Python and familiarity with key data analysis libraries (e.g., NumPy, pandas, matplotlib) Experience writing clean, well-structured code for scientific or engineering problems Familiarity with software development best practices including version control (e.g., Git) and modular code design Ability to interpret and work with structured datasets from simulations or experiments Strong analytical and problem-solving skills with attention to detail Excellent collaboration and communication skills within technical teams Self-motivated with a desire to learn and take ownership of tasks in a fast-paced environment Preferred Qualifications Experience with CFD tools such as OpenFOAM, Star-CCM+, or ParaView for post-processing Exposure to scientific computing workflows including simulation automation or batch processing Familiarity with HPC environments, Linux-based systems, and bash or Python scripting for automation Understanding of fluid dynamics, ocean engineering, or physics-based modeling Experience building or contributing to internal software tools for data analysis, simulation, or visualization Academic or internship experience involving simulation data pipelines or engineering R&D projects The above qualifications are desired, not required. We encourage you to apply if you are a strong candidate with only some of the desired skills and experience listed. Additional Requirements Occasional extended hours or weekend work to support key milestones. Strong preference for candidates based in Portland, OR. Exceptional remote candidates will be considered. Compensation and Benefits If hired for this full-time role, you will receive: Cash compensation of $110,000-$175,000. Equity in the company. We're all owners and if we're successful, this equity should be far and away the most valuable component of your compensation. A benefits package that helps you take care of yourself and your family, including: Flexible paid time off Health insurance (the company pays 100% of gold level PPO plan for full time employees, their partners, and dependents) Dental insurance (the company pays 33% for full time employees and 100% for their partners and dependents) Vision insurance (the company pays 100% for full time employees, their partners, and dependents) Disability insurance (the company pays 100% for a policy to provide long term financial support if you become disabled) Ability to contribute to tax-advantaged accounts, including 401(k), health FSA, and dependent care FSA Relocation assistance to facilitate your move to Portland (if needed). Location We have a strong preference for candidates based in Portland, OR as this is an in-office role. Our offices, lab and shop, are located in Portland, Oregon.

**A Day in the Life:** The IBM Sterling Senior MFT Engineer will have expertise in Sterling B2B Integrator, Sterling File Gateway, Sterling Secure Proxy, Control Center. This position requires an expert level knowledge of these technologies. You'll provide third-level support for core hardware, software, data and infrastructure components within the B2B integration team. The software focus areas will include software infrastructure components, continuous improvement and automation related to middleware and enterprise data movement within a mission-critical, multi-site enterprise environment. The ideal candidate will have a passion for technology; possess the ability to create change and be the facilitator for this transformation. They will have experience tailoring software design, developing, and implementing of solutions in support of data quality and automation. They will need to understand the requirements of a project, test the performance of the infrastructure, and verify that the requirements have been successfully met. We expect the starting salary to be around $135k but will be commensurate with experience. **What You'll Do:** TECHNICAL SENIORSHIP + Communication with internal and external business users on Sterling Integrator mappings + Making changes to existing partner integrations to meet internal and external requirements + Design, develop and implement solutions based on standards and processes that establish consistency across the enterprise data, reduce risks, and promote efficiencies in support of the organizational goals and objectives. + Diagnose and troubleshoot complex issues, restore services and perform root cause analysis. + Facilitate the review, vetting of these designs with the architecture governance bodies, as required. + Be aware of all aspects of security related to the Sterling environment and integrations INNOVATIVE INFRASTRUCTURE & PROBLEM SOLVING + Strive to engineering excellence by simplifying, optimizing, and automating processes and workflows. TEAMWORK & COMMUNICATION + Superior & demonstrated team building & development skills to harness powerful teams + Ability to communicate effectively with different levels of Seniorship within the organization + Provide timely updates so that progress against each individual incident can be updated as required + Write and review high quality technical documentation CONTROL & AUDIT + Ensures their workstation and all processes and procedures, follow organization standards CONTINUOUS IMPROVEMENT + Encourages and maintains a 'Best practice sharing culture', always striving to find ways to improve service and change mind set. **What We're Looking For:** + Bachelor's degree in Engineering, Statistics, Computer Science or other quantitative fields, required + 5+ years of IT experience + 4+ years' experience working with Sterling B2B Integrator, Sterling File Gateway, PCM (preferred) + 3+ years' experience with scripting to enable automation of standard activities (example: Ansible, Python, Bash, Java) + Strong interpersonal and communication skills with Agile/Scrum experience. + Strong problem solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions with the ability to develop custom setups. + Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate technical and non-technical issues and concepts to multiple organization levels. + Prefer Travel, transportation, or hospitality experience + Prefer experience with designing application data models for mobile or web applications + Excellent written and verbal communication skills. + Flexibility in scheduling which may include nights, weekends, and holidays **What You'll Get:** + Up to 40% off the base rate of any standard Hertz Rental + Paid Time Off + Medical, Dental & Vision plan options + Retirement programs, including 401(k) employer matching + Paid Parental Leave & Adoption Assistance + Employee Assistance Program for employees & family + Educational Reimbursement & Discounts + Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness + Perks & Discounts -Theme Park Tickets, Gym Discounts & more The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. **US EEO STATEMENT** At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique. EOE, including disability/veteran

Precinmac owns a family of precision machining companies in the US and Canada. This roles home location is Shields MFG location in Tualatin, Oregon, which is an industry leader and Value-Add, climate-controlled production facility specializing in CNC machining and complex mechanical/optical/laser assembly including clean-room environments. The Data Engineer will play a critical role in supporting all areas of the company by enabling reliable, scalable, and secure information systems. Our businesses deliver specialized manufacturing expertise for OEMs with low-volume/high-mix needs, while also driving higher-volume opportunities through our expanding cell system capabilities. As an IT-driven organization, we rely on robust data and management information systems to ensure efficiency, transparency, and informed decision-making across the enterprise. We offer: A Highly competitive total compensation package Medical (3 medical plans to choose from) Dental Vision Life (Company-paid, and options for additional supplemental) Disability Insurance (company paid short-term and long-term disability) 401(k) with company match A generous paid time off schedule Discretionary quarterly bonus program. We Offer: A Highly competitive total compensation package Medical (3 medical plans to choose from) Dental Vision Life (Company-paid, and options for additional supplemental) Disability Insurance (company paid short-term and long-term disability) 401(k) with company match, A generous paid time off schedule Discretionary quarterly bonus program. Date Engineer We are looking for a highly motivated Data Engineer to join our growing Data Governance & Analytics team. In this role, you will work closely with senior engineers, architects, and business stakeholders to design and deliver scalable data solutions that power critical business insights and innovation. If you are passionate about building robust data pipelines, ensuring data quality, and leveraging cutting-edge cloud technologies, this is the role for you. Key Responsibilities: Partner with the Senior Data Engineer to design, build, and maintain scalable ETL pipelines and dataflows that adhere to enterprise governance and quality standards. Implement data modeling, normalization, and metadata management practices to ensure consistency and usability across data platforms. Leverage Azure Data Factory (ADF), Databricks, and Apache Spark to process and transform large volumes of structured and unstructured data. Integrate data from diverse sources using RESTful APIs and other ingestion methods. Apply advanced SQL expertise for querying, performance tuning, and ensuring data integrity (both T-SQL and PL/SQL). Collaborate with business teams and data governance groups to enforce data quality, lineage, and compliance standards. Contribute to the Agile development lifecycle, participating in sprint planning, stand-ups, and retrospectives. Partner with data architects, analysts, and business leaders to design and deliver solutions aligned with organizational goals. Provide technical expertise in Python and other scripting languages to automate data workflows. Promote best practices in data governance, security, and stewardship across the enterprise. Required Skills & Experience: Proven experience in data engineering with exposure to data governance frameworks (preferably GCCHI). Strong proficiency with Azure Data Factory, Azure Databricks, Apache Spark, and Python. Solid expertise in SQL (query optimization, performance tuning, complex joins, stored procedures) across T-SQL and PL/SQL. Hands-on experience with ETL pipelines, dataflows, normalization, and data modeling. Familiarity with RESTful API integration for data ingestion. Experience contributing to Agile teams and sprint-based deliverables. Strong understanding of data structures, metadata management, and governance best practices. Practical experience automating workflows with Python scripting. Preferred Skills: Experience with data cataloging, data lineage, and master data management (MDM) tools. Knowledge of Azure Synapse Analytics, Power BI, or other BI/visualization platforms. Familiarity with CI/CD practices for data pipelines. Exposure to data privacy regulations (CMMC, NIST 800). Why Join Us? Work on impactful projects that enable smarter business decisions. Gain hands-on experience with advanced Azure technologies and modern data tools. Be part of a collaborative, agile team where innovation and continuous improvement are valued. Grow your career in a forward-looking data-driven organization. Work Setting: General office setting with typical moderate noise levels in a temperature controlled environment. Operates office equipment (computer, fax, copier, phone) as required to perform essential job functions. Precinmac is an equal opportunity, affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

SOLV Energy is an engineering, procurement, construction (EPC) and solar services provider for utility solar, high voltage substation and energy storage markets across North America. As a Data Engineer, you will play a crucial role in our data engineering team. Your primary responsibility will be to help design, develop, and maintain data pipelines and ETL (Extract, Transform, Load) processes. You will work to ensure efficient data flow, data quality, usability, and system reliability. This role is based full-time in our office in Bend, OR. Specific location details and expectations will be discussed during the interview process. : * This job description reflects management's assignment of essential functions; it does not prescribe or restrict the tasks that may be assigned Position Responsibilities and Duties: Data Pipeline Development Collaborate with the team lead to design and implement data pipelines that extract, transform (ETL) and load data from various sources into the data warehouse. Optimize data pipelines for performance, scalability, and reliability. Monitor and troubleshoot pipeline issues, ensuring data consistency and accuracy. Document ETL/ELT processes and data lineage. Collaboration and Communication Assist in documenting technical specifications, data catalogs, and process workflows. Communicate effectively with other teams across the organization, including technical & business teams. Data Quality Assurance Validate data quality by implementing data validation checks and monitoring data anomalies. Administer change management policies and procedures and conduct tabletop exercises to assess ETL process effectiveness. Work closely with data analysts and business stakeholders to understand data requirements and ensure accurate data delivery. Data Platform Management Assist in data model design and schema creation. Perform maintenance on databases and other data stores, such as backups, indexing, and query optimization. Implement, troubleshoot and maintain the data engineering tools and environments that are necessary for the team's success - ETL tools, documentation/collaboration platforms, servers, etc. Continuous Learning and Skill Development Stay up to date with industry trends, best practices, and emerging technologies related to data engineering. Participate in training sessions and workshops to enhance your technical skills. Minimum Skills or Experience Requirements: Required: bachelor's degree in Computer Science, Data Science, Business Analytics, Information Systems, or equivalent technical degree Experience with SQL and relational databases (e.g., PostgreSQL or MySQL) 2+ years in a professional business data engineering role (5+ to be considered for a Senior Data Engineer position) Communicating with all corporate functions and understanding diverse data needs Technical documentation, especially around data; proficiency with related tools such as Confluence Conceptual data modeling for an organization, master data management, data quality testing, and/or other data governance processes and methods; proficiency with related tools such as Microsoft Purview Dimensional data modeling and schema design Data pipelining/ETL tools, especially those in Microsoft Fabric Cloud solution technologies such as Azure or AWS, and their products Building data warehouses, data lakes and other data stores for analytics Business intelligence/reporting; proficiency with related tools, especially Power BI Code control/version control systems (e.g., Git) Proficiency with Microsoft office tools including Word, Excel, Outlook Experience using task management tools such as Jira or Microsoft Planner Excellent verbal and written communication skills Strong attention to detail Eagerness to learn and grow in a dynamic data engineering environment SOLV Energy Is an Equal Opportunity Employer At SOLV Energy we celebrate the power of our differences. We are committed to building diverse, equitable, and inclusive workplaces that improve our communities. SOLV Energy prohibits discrimination and harassment of any kind against an employee or applicant based on race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, national origin, or ethnicity, mental or physical disability, veteran status, parental status, or any other characteristic protected by law. Benefits: Employees (and their families) are eligible for medical, dental, vision, basic life and disability insurance. Employees can enroll in our company's 401(k) plan and are provided vacation, sick and holiday pay. Compensation Range: $103,430.00 - $129,288.00 Pay Rate Type: Salary SOLV Energy does not accept unsolicited candidate introductions, referrals or resumes from third-party recruiters or staffing agencies. We require all third-party recruiters to communicate exclusively with our internal talent acquisition team. SOLV Energy will not pay a placement fee to any third-party recruiter or agency that has not coordinated their recruiting activity with the appropriate member of our internal talent acquisition team. In addition, candidate introductions or resumes can only be submitted to our internal talent acquisition recruiting team if a signed vendor agreement is already on file and the third-party recruiter or agency has received formal instructions from our internal talent acquisition team to submit candidates for a particular job posting. Any unsolicited candidate introductions, referrals or resumes sent by third-party recruiters to SOLV Energy or directly to any of our employees, or received through our website or career portal, will be considered property of SOLV Energy and will not be eligible for a placement fee. In the event a third-party recruiter submits a resume or refers a candidate without a previously signed vendor agreement, SOLV Energy explicitly reserves the right to pursue and hire the candidate(s) without financial liability to such third-party recruiter. Job Number: J12342 If you're interested in a meaningful career with a brighter future, join the SOLV Energy Team.

**Advance Local** is looking for a **Senior Data Engineer** to design, build, and maintain the enterprise data infrastructure that powers our cloud data platform. This position will combine your deep technical expertise in data engineering with team leadership responsibilities for data engineering, overseeing the ingestion, integration, and reliability of data systems across Snowflake, AWS, Google Cloud, and legacy platforms. You'll partner with data product and across business units to translate requirements into technical solutions, integrate data from numerous third-party platforms, (CDPs, DMPs, analytics platforms, marketing tech) into central data platform, collaborate closely with the Data Architect on platform strategy and ensure scalable, well-engineered solutions for modern data infrastructure using infrastructure as code and API-driven integrations. The base salary range is $120,000 - $140,000 per year. **What you'll be doing:** + Lead the design and implementation of scalable data ingestion pipelines from diverse sources into Snowflake. + Partner with platform owners across business units to establish and maintain data integrations from third party systems into the central data platform. + Architect and maintain data infrastructure using IAC, ensuring reproducibility, version control and disaster recovery capabilities. + Design and implement API integrations and event-driven data flows to support real time and batch data requirements. + Evaluate technical capabilities and integration patterns of existing and potential third-party platforms, advising on platform consolidation and optimization opportunities. + Partner with the Data Architect and data product to define the overall data platform strategy, ensuring alignment between raw data ingestion and analytics-ready data products that serve business unit needs. + Develop and enforce data engineering best practices including testing frameworks, deployment automation, and observability. + Support rapid prototyping of new data products in collaboration with data product by building flexible, reusable data infrastructure components. + Design, develop, and maintain scalable data pipelines and ETL processes; optimize and improve existing data systems for performance, cost efficiency, and scalability. + Collaborate with data product, third-party platform owners, Data Architects, Analytics Engineers, Data Scientists, and business stakeholders to understand data requirements and deliver technical solutions that enable business outcomes across the organization. + Implement data quality validation, monitoring, and alerting systems to ensure reliability of data pipelines from all sources. + Develop and maintain comprehensive documentation for data engineering processes and systems, architecture, integration patterns, and runbooks. + Lead incident response and troubleshooting efforts for data pipeline issues, ensuring minimal business impact. + Stay current with the emerging data engineering technologies, cloud services, SaaS platform capabilities, and industry best practices. **Our ideal candidate will have the following:** + Bachelor's degree in computer science, engineering, or a related field + Minimum of seven years of experience in data engineering with at least two years in a lead or senior technical role + Expert proficiency in Snowflake data engineering patterns + Strong experience with AWS services (S3, Lambda, Glue, Step Functions) and Google Cloud Platform + Experience integrating data from SaaS platforms and marketing technology stacks (CDPs, DMPs, analytics platforms, CRMs) + Proven ability to work with third party APIs, webhooks, and data exports + Experience with infrastructure such as code (Terraform, Cloud Formation) and CI/CD pipelines for data infrastructure + Proven ability to design and implement API integrations and event-driven architecture + Experience with data modeling, data warehousing, and ETL processes at scale + Advanced proficiency in Python and SQL for data pipeline development + Experience with data orchestration tools (airflow, dbt, Snowflake tasks) + Strong understanding of data security, access controls, and compliance requirements + Ability to navigate vendor relationships and evaluate technical capabilities of third-party platforms + Excellent problem-solving skills and attention to detail + Strong communication and collaboraion skills **Additional Information** Advance Local Media offers competitive pay and a comprehensive benefits package with affordable options for your healthcare including medical, dental and vision plans, mental health support options, flexible spending accounts, fertility assistance, a competitive 401(k) plan to help plan for your future, generous paid time off, paid parental and caregiver leave and an employee assistance program to support your work/life balance, optional legal assistance, life insurance options, as well as flexible holidays to honor cultural diversity. Advance Local Media is one of the largest media groups in the United States, which operates the leading news and information companies in more than 20 cities, reaching 52+ million people monthly with our quality, real-time journalism and community engagement. Our company is built upon the values of Integrity, Customer-first, Inclusiveness, Collaboration and Forward-looking. For more information about Advance Local, please visit ******************** . Advance Local Media includes MLive Media Group, Advance Ohio, Alabama Media Group, NJ Advance Media, Advance Media NY, MassLive Media, Oregonian Media Group, Staten Island Media Group, PA Media Group, ZeroSum, Headline Group, Adpearance, Advance Aviation, Advance Healthcare, Advance Education, Advance National Solutions, Advance Originals, Advance Recruitment, Advance Travel & Tourism, BookingsCloud, Cloud Theory, Fox Dealer, Hoot Interactive, Search Optics, Subtext. _Advance Local Media is proud to be an equal opportunity employer, encouraging applications from people of all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, genetic information, national origin, age, disability, sexual orientation, marital status, veteran status, or any other category protected under federal, state or local law._ _If you need a reasonable accommodation because of a disability for any part of the employment process, please contact Human Resources and let us know the nature of your request and your contact information._ Advance Local Media does not provide sponsorship for work visas or employment authorization in the United States. Only candidates who are legally authorized to work in the U.S. will be considered for this position.

Department: Finance and Administration Shared Services - Information Technology Classification: Analyst Programmer Appointment Type and Duration: Regular, Ongoing Salary: $66,132 - $122,736 per year FTE: 1.0 Review of Applications Begins December 30, 2025; open until filled Special Instructions to Applicants To be considered for this position, applicants must submit a complete application. Complete applications must include an online application, resume, and cover letter. In your cover letter, show how your skills match the position qualifications - particularly experience with reporting tools, ETL scripting, Smartsheet integrations, AI chatbot development, and system integrations. Department Summary Administrative Services oversees multiple business hubs and Shared Service organizations throughout the University. Located within the Finance and Administration portfolio, the objective of the division is to provide efficient, strategic and specialized administrative services to support the missions of various departments, schools and colleges at the University of Oregon. Administrative Services focuses on supporting department-specific budget, finance, payroll, human resource and procure-to-pay functions; as well as specialized physical security technologies. We are a metric-driven, people-first administrative team that strives to create efficient, effective and sustainable support structures across campus. Position Summary As a Business Data Engineer, you will play a pivotal role in developing, maintaining, and optimizing data pipelines and infrastructure to support mission-critical reporting and operational intelligence. Your responsibilities will include programming, designing, and developing custom ETL scripts using Python, SQL, Javascript, and other languages, ensuring the seamless movement and consolidation of data from disparate operational systems. Additionally, you will maintain and optimize a complex library of custom scripts, while also designing and updating various data warehouse structures via MS SQL Server to enhance performance and facilitate reporting and operational functions. You will be instrumental in the creation, deployment, and optimization of a vast library of hundreds custom reports and data products using reporting tools such as Tableau, Excel, Cognos, and native system reporting tools. Collaborating closely with campus stakeholders, you will elicit report requests and requirements, ensuring that the reports and data products developed cater to the diverse needs of senior leadership and various departments. Furthermore, you will actively engage in analyzing business needs, working directly with senior leadership to understand goals, implement necessary changes, and continuously improve business operations processes. In addition to your technical responsibilities, you will take a proactive approach to training and supporting end-users, creating technical documentation, and providing training on new tools and reports. By establishing and maintaining a learning end-user community within supported units, you will foster a culture of data-driven decision-making and operational excellence. This role offers an exciting opportunity to contribute to the advancement of data-driven practices while playing a key role in shaping the future of analytics and reporting within the organization. Interactions/contacts occur daily with team members, the campus community and external stakeholders while performing work. This position works in a collaborative environment both independently and as part of a team. To be successful, you will need to be flexible and adaptable with respect to learning and using new technologies and be highly self-motivated and able to take direction. Work is reviewed regularly by the Supervisor to ensure it is performed efficiently, safely, and meets both expectations and applicable requirements. ESSENTIAL PERSONNEL: This unit may provide essential services during times of emergencies and inclement weather. This position may be required to fulfill essential services and functions during these times. Minimum Requirements This classification requires a basic foundation of knowledge and skills in systems analysis and related programming support functions generally obtained by a bachelor's degree in computer science, or an equivalent amount of training and applied experience. Professional Competencies • Demonstrate respect in the workplace and model a positive, proactive attitude. • Shows commitment to upholding the highest ethical standards. • Skilled in managing business process changes to optimize organizational performance. • Proven capacity to work effectively in diverse team environments and build networks that support problem solving and positive change. • Proficiency in providing superior customer service. • Willingness to receive feedback, to learn and embrace continuous improvement. • Ability to advance multiple projects within a specific timeframe and budget. • A deep understanding of business intelligence concepts and supporting technologies. • Capable of adopting and learning new technology platforms to create custom data products and processes. • Adept at soliciting information from customers, understanding and defining requirements and providing solutions that fit customers' expectations and needs. Preferred Qualifications • Bachelor's degree in the field of Computer Science or data science. • Two years of experience with high-level report development tools (such as Tableau, Cognos, Power BI, etc.) • One year of experience writing ETL Scripts. • Experience in creating and maintaining Smartsheet integrations and automations. • Experience writing and implementing custom AI chatbot/assistance agents (ie via Microsoft Copilot). • Experience utilizing REST API's and webhooks to integrate systems and data. • Experience with tools used in software development such as source code control and issue tracking. FLSA Exempt: Yes All offers of employment are contingent upon successful completion of a background check. This is a classified position represented by the SEIU Local 503, Oregon Public Employees Union. The University of Oregon is proud to offer a robust benefits package to eligible employees, including health insurance, retirement plans, and paid time off. For more information about benefits, visit our website. The University of Oregon is an equal-opportunity institution committed to cultural diversity and compliance with the Americans with Disabilities Act. The University encourages all qualified individuals to apply and does not discriminate on the basis of any protected status, including veteran and disability status. The University is committed to providing reasonable accommodations to applicants and employees with disabilities. To request an accommodation in connection with the application process, please email us or call ************. UO prohibits discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, pregnancy (including pregnancy-related conditions), age, physical or mental disability, genetic information (including family medical history), ancestry, familial status, citizenship, service in the uniformed services (as defined in federal and state law), veteran status, expunged juvenile record, and/or the use of leave protected by state or federal law in all programs, activities and employment practices as required by Title IX, other applicable laws, and policies. Retaliation is prohibited by UO policy. Questions may be referred to the Office of Equal Opportunity and Access. Contact information, related policies, and complaint procedures are listed here. In compliance with federal law, the University of Oregon prepares an annual report on campus security and fire safety programs and services. The Annual Campus Security and Fire Safety Report is available online.

Department: Software Development & Data Engineering Certified Languages International (CLI) is modernizing its interpreter services platform and scaling its cloud-based systems to support thousands of interpreters and customers worldwide. We are seeking a Data Engineer to build and optimize data pipelines, design scalable data architectures, and integrate complex on-premises and cloud data sources. This role is engineering-heavy: you will work directly with DBAs, backend developers, and cloud engineers to create robust data ingestion, transformation, and warehousing solutions that power mission-critical analytics, reporting, and machine learning. Our environment spans SQL Server, Azure, and Snowflake-along with integrations into CRM, telephony, and accounting systems. Key Responsibilities Pipeline Engineering: Design, implement, and maintain large-scale, production-grade ETL/ELT pipelines using tools such as Azure Data Factory, Databricks, and SSIS. Data Architecture: Develop and manage data lakes, warehouses, and marts (Azure SQL, Snowflake) using modern patterns like medallion architecture, star schemas, and dimensional modeling. Streaming & Real-Time Data: Build and optimize event-driven and streaming pipelines (Kafka, Event Hubs, Structured Streaming) to capture interpreter session data, call metrics, and workflow events. Integration: Connect diverse systems - on-prem DBs, QuickBooks, Genesys/NICE CXone, MERFi, Salesforce - into unified cloud pipelines with automated validation. Scalability & Performance: Tune SQL queries, ETL/ELT jobs, and orchestration workflows to handle high-volume, low-latency data at scale. Automation & CI/CD: Implement automated workflows for data delivery, testing, and deployment using Azure Git/DevOps pipelines, Airflow, or equivalent orchestration tools. Monitoring & Reliability: Build observability into data pipelines with logging, alerting, and error handling frameworks to guarantee high availability. Collaboration: Partner with DBAs on database refactoring and optimization, backend engineers on service-level integrations, and data analysts/scientists on clean and performant data delivery. Security & Compliance: Engineer pipelines to comply with HIPAA, GDPR, and internal audit requirements, ensuring encryption, access control, and data lineage tracking. Required Qualifications Bachelor's degree in Computer Science, Data Engineering, or equivalent professional experience. 5+ years of data engineering experience building pipelines and data platforms. Deep expertise in SQL Server, T-SQL, and query optimization. Hands-on experience with Python and PySpark for large-scale data processing. Strong background in Azure Data Factory, Databricks, or equivalent cloud ETL frameworks. Experience with Snowflake or Azure SQL Data Warehouse. Familiarity with CI/CD practices for data pipelines (GitHub, Azure DevOps, or GitLab). Strong understanding of data modeling, warehousing, and orchestration. Preferred Qualifications Certification in Azure Data Engineering (DP-203) or Snowflake SnowPro. Experience with Kafka/Event Hubs for real-time ingestion and streaming pipelines. Background with containerized/cloud-native data services (Docker, Azure Container Apps). Familiarity with NoSQL, APIs, and semi-structured data (JSON, XML). Experience with contact center or healthcare data ecosystems. Skills & Attributes Engineering-first mindset with a focus on scalability, maintainability, and performance. Strong debugging, problem-solving, and system design skills. Able to work cross-functionally with DBAs, cloud engineers, and developers on complex systems. Excited by data architecture modernization and building resilient pipelines at scale. Comfortable balancing legacy integration challenges with modern cloud-first solutions.