• Design, development and optimization of machine learning and deep learning models • Design, implementation and optimization of NLP solutions, LLMs, and RAG architectures • Building retrieval and knowledge layers for semantic search with embeddings and vector or graph databases • Building, deployment and operation of ML and GenAI services • Building and operating scalable data pipelines

The Cornell University College of Veterinary Medicine seeks a Data Engineer to join the Wildlife Health Lab (CWHL) team. The selected person will work in collaboration with application developers, data scientists, ecologists, and wildlife professionals using data pipelines that integrate raw wildlife agency data into data systems. The Data Engineer will further prepare data for and run large analytical processes written in R, Python, or other languages. The Data Engineer will migrate current local processes to cloud services, as well as write and maintain system documentation. The Data Engineer will support development goals by publishing and maintaining data resources systems for wildlife agencies. Required Qualifications - Bachelor’s degree in Computer Science, Data Science, Statistics, or other relevant technical data-centric computational field and 3-5 years of relevant experience or equivalent combination - Familiarity with wildlife disease ecology, wildlife management, environmental science, natural resource management, or other related fields. - Experience with relational and No SQL database software (such as Postgres, MySQL, and MongoDB), containerization software (such as Docker), cloud computing services (such as Google Cloud, Microsoft Azure, and AWS), and web application frameworks (such as R Shiny). - Experience building reliable data pipelines that ingest and process data at scale. - Knowledge of data security, including the appropriate handling of sensitive data and the maintenance of data privacy throughout all computations and workflows. - Experience publishing in scientific literature. - Exceptional independent multi-tasking ability with accountability and follow-through. - Must be able to manage multiple projects simultaneously, as well as adhere to deadlines associated with each task. Preferred Qualifications - Advanced degree or higher in Computer Science, Data Science, Statistics, or other relevant technical data-centric computational field. - Interdisciplinary training or experience in applied quantitative settings to conduct science in ecology, natural resources, or epidemiology. - Experience with web application development, user interface design, and web development. - Experience working with or for governmental wildlife agencies. - Dedication to a career supporting the fields of wildlife, natural resources management, or conservation. Important Details about the Position - This is a fully remote position with eligibility to work anywhere in the US. - This is a full time one-year term position with potential for extension contingent upon performance and funding. - We are unable to provide Visa sponsorship, now or in the future, for this position. - Relocation assistance will not be provided for this position. While the regular business hours are 8:00 am to 5:00 pm, the specific schedule may change to meet the needs of the business, requiring employees to work early mornings, evenings, weekends and University holidays and scheduled breaks. The Following Documents are Required to be Submitted with your Application - Resume - Cover Letter What We Offer: Great benefits! Cornell receives national recognition as an award-winning workplace for our health, wellbeing, and sustainability. - 3 weeks of paid vacation - 13 additional holiday days with 2 additional floating holidays to be used at your discretion - An award-winning employer provided benefits program - Comprehensive health care options - Access to wellness programs - Employee discounts with local and national retail brands - Generous retirement contributions - Impressive educational benefits include tuition-free Extramural Study and Employee Degree Program, Tuition Aid for external education, and Cornell Children's Tuition Assistance program - Follow this link for more information: https://hr.cornell.edu/understand-your-benefits Employees are expected to meet all of the Cornell University Staff Skills for Success, which are essential for individual and organizational success. Who We Are: The Cornell Wildlife Health Lab (CWHL) is a partnership between the AHDC and the New York State Department of Environmental Conservation to provide surveillance, diagnosis, and management support for wildlife diseases. The CWHL provides comprehensive, science-based communications on wildlife health and conservation. Questions? Gabriel Gonzalez - gag95@cornell.edu University Job Title: Informatics/Data Analyst III Job Family: Administration Level: F Pay Rate Type: Salary Pay Range: $80,195.00 - $93,199.00 Remote Option Availability: Remote Company: Endowed Contact Name: Gabriel Gonzalez Contact Email: gag95@cornell.edu Job Titles and Pay Ranges: Non-Union Positions Noted pay ranges reflect the potential pay opportunity for each job profile. The hiring rate of pay for the successful candidate will be determined considering the following criteria: - Prior relevant work or industry experience - Education level to the extent education is relevant to the position - Unique applicable skills - Academic Discipline To learn more about Cornell’s non-union staff job titles and pay ranges, see Career Navigator. Union Positions The hiring rate of pay for the successful candidate will be determined in accordance with the rates in the respective collective bargaining agreement. To learn more about Cornell’s union wages, see Union Pay Rates. Current Employees: If you currently work at Cornell University, please exit this website and log in to Workday using your Net ID and password. Select the Career icon on your Home dashboard to view jobs at Cornell. Online Submission Guidelines: Most positions at Cornell will require you to apply online and submit both a resume/CV and cover letter. You can upload documents either by “dragging and dropping” them into the dropbox or by using the “upload” icon on the application page. For more detailed instructions on how to apply to a job at Cornell, visit How We Hire on the HR website. Employment Assistance: For general questions about the position or the application process, please contact the Recruiter listed in the job posting or email mycareer@cornell.edu. If you require an accommodation for a disability in order to complete an employment application or to participate in the recruiting process, you are encouraged to contact Cornell Office of Civil Rights at voice (607) 255-2242, or email at accommodations@cornell.edu. Applicants that do not have internet access are encouraged to visit your local library, or local Department of Labor. You may also request an appointment to use a dedicated workstation in the Office of Talent Attraction and Recruitment, at the Ithaca campus, by emailing mycareer@cornell.edu. Notice to Applicants: Please read the required Notice to Applicants statement by clicking here. This notice contains important information about applying for a position at Cornell as well as some of your rights and responsibilities as an applicant. EEO Statement: Cornell welcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world-class education and career opportunities, to further the founding principle of “... any person ... any study.” No person shall be denied employment on the basis of any legally protected status or subjected to prohibited discrimination involving, but not limited to, such factors as race, ethnic or national origin, citizenship and immigration status, color, sex, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual’s genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law. Cornell University embraces diversity in its workforce and seeks job candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We hire based on merit, and encourage people from historically underrepresented and/or marginalized identities to apply. Consistent with federal law, Cornell engages in affirmative action in employment for qualified protected veterans as defined in the Vietnam Era Veterans’ Readjustment Assistance Act (VEVRAA) and qualified individuals with disabilities under Section 503 of the Rehabilitation Act. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law. 2026-03-19

Department Overview The mission of the Information Technology Group (ITG) is to provide and support technology and information services that enable OHSU to be a national leader in health and science innovation. The work of the Business Intelligence and Advanced Analytics (BIAA) Division ensures that the informational assets of the OHSU enterprise are leveraged to enhance financial, clinical, operational, and research decision-making. Reporting to the Director of Clinical Data and Analytics, this leadership position is responsible for leading the design, development, and technical stewardship of data engineering systems that enable efficient, reliable, and scalable data processing and analysis across OHSU Health. The principal duty of this position is leading a team of Data Engineers responsible for developing, documenting, and optimizing data pipelines, data integration processes, and data transformations that support enterprise reporting, analytics, and downstream applications. Function/Duties of Position Data Engineering Team Leadership & Talent Development Provides direct leadership, accountability, and professional development for the Clinical Data Engineering team to ensure high-quality, sustainable delivery of enterprise data assets. - Leads recruitment, onboarding, retention, and performance management in alignment with OHSU’s standards. - Conducts regular 1:1 meetings and GROW conversations to establish clear goals, foster growth, and address performance needs. - Holds staff accountable for deliverables, quality standards, documentation, and timelines. - Schedules and conducts regular team meetings to communicate project goals, divisional priorities, and relevant ITG and OHSU updates. - Builds senior engineering capability and distributed technical leadership across the team. - Use working experience of industry best practices to reinforce engineering standards, including testing discipline, documentation rigor, and sustainable design practices. - Leads staff in expanding skills, modernizing BI processes, improving SDLC discipline, and advancing data warehousing capabilities in support of OHSU’s BI strategy. - Ensures engineers operate at the top of their license by clarifying roles, reducing unnecessary managerial intervention, and promoting autonomy within defined standards. Data Pipeline Design, Development & Quality Oversight Provides oversight and direction for the design, development, validation, and ongoing accuracy of scalable, secure, and well-governed data pipelines. - Ensures standard system development methodologies are followed for data flows, transformations, and warehouse structures. - Implements structured quality assurance processes and peer review to ensure code quality. - Develops defect tracking and resolution workflows that promote accountability, root-cause analysis, and prevention of recurring issues. - Oversee the maintenance of version-controlled change logs and promotion histories for all production data assets. - Ensures complete and accurate metadata documentation for data models, transformations, lineage, and business logic to support transparency and downstream trust. - Establishes monitoring and validation mechanisms to detect data defects and unexpected drift. - Promotes reuse of canonical data structures and alignment with enterprise data models to prevent duplication and fragmentation. - Escalates complex technical issues to architects or subject matter experts when appropriate and ensures resolution plans are developed and executed. - Ensures engineering practices align with OHSU data governance standards and security directives. - Leads the planning and phased transition of data engineering workloads toward modern cloud-based platforms that support the use of advanced analytics, machine learning, and AI capabilities. Partnerships and Service Delivery Serves as the primary data engineering liaison to clinical and operational partners, providing well-defined engineering initiatives and managing expectations regarding scope, sequencing, and tradeoffs. - Acts as a service partner, ensuring responsive and reliable engineering support for operational and enhancement requests. - Partners with CLBI leaders and business partners to refine and prioritize initiatives aligned with organizational goals. - Establishes and governs structured intake and backlog management processes, ensuring work meets defined readiness criteria prior to development. - Communicates engineering capacity, constraints, risks, and sequencing tradeoffs transparently and consistently. - Facilitates structured discovery and planning sessions for data engineering initiatives to clarify business objectives, technical implications, scope, and sequencing. - Leads engineering initiatives requiring structured planning, including development of timelines, milestones, dependencies, and resource allocation to ensure successful delivery. - Monitors initiative progress, mitigates risks, and drives work to completion while maintaining alignment with partner expectations. - Communicate initiative status and escalate conflicts in priority or resource allocation appropriately while maintaining alignment across partner groups. - Determines and prioritizes required engineering work related to upgrades, technical dependencies, regulatory changes, and system maintenance activities. Continued professional development and other duties as assigned. Required Qualifications - Bachelor's degree in computer science or related field and six years or work experience in the information and technology field; OR - Advanced degree (master's or above) would substitute for four years of work-related experience in the information technology field. Experience - Minimum 6 years of progressively responsible experience in data engineering, data warehousing, or business intelligence environments. - Minimum 2 years leading complex technical projects or people; including planning, execution, risk mitigation, and successful on-time delivery. - Demonstrated experience implementing structured peer review, testing, QA, and defect management processes in a data engineering or BI environment. - Experience establishing and maintaining metadata documentation, lineage tracking, and version-controlled change logs for production data assets. - Demonstrated experience working within formal Systems Development Life Cycle (SDLC) frameworks, including structured promotion controls and release management. - Experience facilitating structured meetings to gather requirements, define scope, and manage expectations. - Experience developing and maintaining technical documentation for data models, ETL processes, and reporting assets. Knowledge, Skills, and Abilities - Strong understanding of data warehouse and data lake architectures, including dimensional and relational modeling principles. - Experience establishing and enforcing engineering development standards, code review practices, testing frameworks, and promotion controls. - Experience implementing data integration and orchestration solutions using tools such as - Azure Data Factory, Databricks, AWS Glue, or similar services. - Experience using Azure DevOps or comparable DevOps platforms for source control, CI/CD pipelines, and release management. - Working knowledge of cloud storage and compute services (e.g., Azure Data Lake, Azure SQL, S3, Redshift, Snowflake, or equivalent). - Advanced proficiency in SQL for data transformation, profiling, optimization, and validation. - OHSU’s New Manager Leadership Essentials completed withing the first year of employment Preferred Qualifications - Minimum 8 years of progressively responsible experience in data engineering, data warehousing, or business intelligence environments. - Minimum 4 years leading large, complex technical initiatives or projects, including planning, execution, risk mitigation, and successful on-time delivery. - Minimum 2 years of direct people management experience, including performance management, staff development, and accountability for delivery outcomes. - Experience leading projects in cloud-based analytics environments. - Demonstrated ability to design, develop, and deploy scalable data engineering solutions supporting enterprise analytics environments. - Proficiency in programming languages such as Python and/or R for data processing, automation, or analytical workflows. - Experience developing and optimizing ETL/ELT pipelines for reliability, scalability, and performance. - Ability to monitor, troubleshoot, and remediate issues within data pipelines, data warehouses, and workflow orchestration systems. - Experience developing and deploying cloud-based data engineering solutions using platforms such as Microsoft Azure, Amazon Web Services (AWS), or comparable cloud environments. - Understanding of hybrid data architectures and strategies for transitioning on-premise workloads to cloud-based platforms. - Familiarity with cloud cost optimization, performance tuning, and scalability considerations. - Fabric Analytics Engineer Associate. - PMP project management certification. - Epic Cogito Certifications: Cogito, Clarity Data Model, or Caboodle Developer. Additional Details This is typically a Monday - Friday, 8:00am - 5:00pm shift. However, some off hours work may be required to support downtimes, system upgrades and meetings with users. Work Location is fully remote. Benefits - Healthcare for full-time employees covered 100% and 88% for dependents. - $50K of term life insurance provided at no cost to the employee. - Two separate above market pension plans to choose from. - Paid time off - 208 hours per year, prorated for part-time. - Extended illness bank - 64 hours per year, prorated for part-time. - 9 paid holidays per year. - Substantial Tri-Met and C-Tran discounts. - Employee Assistance Program. - Childcare service discounts. - Tuition reimbursement. - Employee discounts to local and major businesses. Why apply to OHSU? We are Oregon's only public academic health center. In addition to caring for patients, we lead groundbreaking research. We also train the next generation of health care professionals. As Portland's largest employer, we give you opportunities to learn and advance in a system of hospitals and clinics across Oregon and Southwest Washington. All are welcome. OHSU welcomes people of all ages, ethnicities, genders, national origins, religions and sexual orientations. We are striving to build an anti-racist, multicultural institution and encourage people with diverse backgrounds to apply. To request reasonable accommodation, contact askhr@ohsu.edu

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. POSITION SUMMARY CVS Health is looking for a skilled Senior data engineer to join our DevOps team. The ideal candidate will have a strong background in both security and DevOps practices, with a focus on integrating security into the software development lifecycle (SDLC) and design, implement, and maintain security tools and processes for continuous integration and continuous deployment (CI/CD) environments.This role involves close collaboration with development and IT operations teams to implement automation using the latest AI technologies to enhance the performance and add efficiencies. REQUIRED QUALIFICATIONS - 5+ years of coding experience using Python with expertise in solution and software development. - 5+ years in DevOps/MLOps and a deep understanding of software engineering principles. - 5+ years of experience in TensorFlow and PyTorch, with additional cloud platform familiarity (AWS highly preferred). - 5+ years of experience with cloud computing environment and management of resources. PREFERRED QUALIFICATIONS - Proven ability to manage the production lifecycle of an MLOps pipeline. - Deep understanding of model deployment and serving. - Experience with orchestration and containerization methodologies. - Familiarity with model serving tools such as MLflow, Databricks Serving, SageMaker, etc. (TensorFlow Serving is a plus). - Experience implementing CI/CD pipelines for ML projects. - Competence in developing automation pipelines (e.g., using GitHub Actions). - Proficiency in Infrastructure as Code tools (e.g., Terraform, Databricks Asset Bundles,etc). - Strong understanding of monitoring and observability, including logging tools (e.g., Prometheus, Grafana) and drift detection. - Extensive experience with Databricks and other development tools in cloud. EDUCATION Bachelor degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience). BUSINESS OVERVIEW Bring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities. Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $83,430.00 - $222,480.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: - Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. - No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. - Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit https://jobs.cvshealth.com/us/en/benefits We anticipate the application window for this opening will close on: 03/20/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.