• Assist in building and maintaining ETL/ELT pipelines for healthcare datasets including claims, eligibility, provider, risk adjustment, HEDIS, EHR, and clinical data • Support the development of data models and data transformations aligned with healthcare standards (e.g., HL7, FHIR, X12) • Contribute to data quality checks, validation rules, and documentation for healthcare data assets • Work with analysts and business users to understand data requirements and translate them into technical tasks • Assist in ingestion and integration of new data sources from EMR systems, CMS feeds, and vendor partners • Develop SQL queries, transformations, functions, and stored procedures to support reporting and analytics workflows • Support data platform tools such as Azure Data Factory, Databricks, Python/Spark jobs, and version control workflows • Participate in issue resolution related to data pipeline failures or data quality errors • Maintain data dictionaries, mapping files, and documentation as part of data governance processes • Collaborate with senior engineers to implement best practices in security, compliance (HIPAA), and architecture

• Design, implement, and continuously expand data pipelines by performing extraction, transformation, and loading (ETL) activities • Gather requirements and business process knowledge to transform data in ways that meet end-user needs • Create new SDLC processes as needed and maintain and improve existing processes • Ensure data architecture is scalable and maintainable • Collaborate with business stakeholders and colleagues to design and deliver accurate, high-quality data • Investigate data to identify potential issues within ETL pipelines, notify end users, and propose effective solutions • Prepare and maintain documentation for future reference • Additional duties as assigned

Role DescriptionDropbox is looking for a Staff Data Engineer to join our Analytics Data Engineering (ADE) team within Data Science & AI Platform. You will be responsible for solving cross-cutting data challenges that span multiple lines of business while driving standardization in how we build, deploy, and govern analytics pipelines across Dropbox. This is not a maintenance role. We are modernizing our analytics platform, upgrading orchestration infrastructure, building shared and reusable data models with conformed dimensions, establishing a certified metrics framework, and laying the foundation for AI-native data development. You will partner closely with Data Science, Data Infrastructure, Product Engineering, and Business Intelligence teams to make this happen. You will play a crucial role in establishing analytics engineering standards, designing scalable data models, and driving cross-functional alignment on data governance. You will get substantial exposure to senior leadership, shape the technical direction of analytics infrastructure at Dropbox, and directly influence how data powers product and business decisions. Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here. Responsibilities - Lead the design and implementation of shared, reusable data models, defining shared fact tables, conformed dimensions, and a semantic/metrics layer that serves as the single source of truth across analytics functions - Drive standardization of data engineering practices across ADE and functional analytics teams, including pipeline patterns, CI/CD workflows, naming conventions, and data modeling standards - Partner with Data Infrastructure to modernize orchestration, improve pipeline decomposition, and establish secure dev/test environments with production data access - Architect and implement a shift-left data governance strategy, working with upstream data producers to establish data contracts, SLOs, and code-enforced quality gates that catch issues before production - Collaborate with Data Science leads and Product Management to translate metric definitions into reliable, certified data pipelines that power executive dashboards, WBR reporting, and growth measurement - Reduce operational burden by improving pipeline granularity, observability, and failure recovery, establishing runbooks and alerting standards that make on-call sustainable - Evaluate and integrate AI-native tooling into the data development lifecycle, enabling conversational data exploration with guardrails and AI-assisted pipeline development Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying. Requirements - BS degree in Computer Science or related technical field, or equivalent technical experience - 12+ years of experience in data engineering or analytics engineering with increasing scope and technical leadership - 12+ years of SQL experience, including complex analytical queries, window functions, and performance optimization at scale (Spark SQL) - 8+ years of Python development experience, including building and maintaining production data pipelines - Deep expertise in dimensional data modeling, schema design, and scalable data architecture, with hands-on experience building shared data models across multiple business domains - Strong experience with orchestration tools (Airflow strongly preferred) and dbt, including pipeline design, scheduling strategies, and failure recovery patterns - Demonstrated ability to drive cross-team technical alignment, establishing standards, influencing without authority, and working across Data Engineering, Data Science, Data Infrastructure, and Product Engineering boundaries Preferred Qualifications - Experience with Databricks (Unity Catalog, Delta Lake) and modern lakehouse architectures - Experience leading orchestration or platform modernization efforts at scale - Familiarity with data governance and observability tools such as Atlan, Monte Carlo, Great Expectations, or similar - Experience building or contributing to a metrics/semantic layer (dbt MetricFlow, Databricks Metric Views, or equivalent) - Track record of establishing data engineering standards and best practices in a federated analytics organization CompensationUS Zone 1 This role is not available in Zone 1 US Zone 2 $198,900—$269,100 USD US Zone 3 $176,800—$239,200 USD

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