• Design and build scalable, reliable, and secure data pipelines for streaming, batch, and real-time processing. • Work in partnership with the Data Science teams to build scalable Pyspark workloads that can be leveraged to generate advanced models. • Implement and optimise data models and storage solutions using Python and SQL with orchestration tools in a cloud environment. • Leverage AI to automate both data processing and engineering processes. • Advocate and uphold best practices for data governance, security, and monitoring. • Collaborate cross-functionally with engineers, analysts, and data scientists to deliver impactful data solutions. • Mentor and support junior engineers in data engineering principles and practices. • Evaluate and recommend new tools and technologies to strengthen data services.

• Develop, construct, and maintain large-scale data processing systems that collect data from a variety of structured and unstructured sources. • Build and optimize ELT pipelines using AI-assisted tooling to identify bottlenecks, suggest optimizations, and automate routine pipeline maintenance tasks. • Identify, design, and implement internal process improvements: use AI to automate manual processes, optimize data delivery, and re-design infrastructure for greater scalability. • Build the infrastructure required for optimal extraction, transformation, and loading of data from various sources. • Prepare data for data scientist exploration and discovery using AI-assisted data profiling and quality assessment tools. • Perform data wrangling and munging for downstream analytics and machine learning. • Enable large-scale machine learning by designing and maintaining annotated datasets, elastic search approaches, and scalable data lake structures that support AI/ML workloads. • Create and maintain analytics pipelines that generate data and insight to power business decision-making. • Collaborate with data scientists, analysts, and business stakeholders on requirements for dimensional modeling and ETL pipelines. • Develop and maintain data quality frameworks; use AI to automate anomaly detection, schema validation, and data contract enforcement across 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

We are looking to hire ambitious entrepreneurs to start and scale their own startups. We are serial entrepreneurs, for example Paul Müller (founder Adjust, €1.2B exit) and Petter Made (founder SumUp, €8B) who are eager to support outlier personalities and serial entrepreneurs to build €1B+ companies. Our offer: - A salary while you build your startup as you will directly be employed by us. Alternatively, you can opt for up to €500k in funding. - 1:1 sparring with unicorn founders on a weekly basis - Community: Access to the top 0.1% of founders, peers and investors - Team building: Hiring top notch talent supported through our network (over 50,000 professionals) - Distribution: Support in reaching product-market-fit and building up a sales force / marketing machine - Funding support for securing a multi-million euro funding round within 12 months (on average, EWOR Fellows raise > €2M after our Grand Pitch) One of our fellows set a record for Europe’s largest pre-seed round by a first-time founder, securing a €12M pre-seed investment. Tasks - You will own, build, and run your startup in fields such as Industry 4.0 - You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management - You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs - You will receive intensive coaching to make your startup ready to raise millions in funding - You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively Requirements - You are based in Europe or the Americas or open to relocate - You are willing to take full responsibility for your own startup and scale it to €100M+ in revenues - You have excellent communication skills in the English language Join us and build a €1B+ company with us!