Data Engineer (CEMI) 

Working Title: Data Engineer (CEMI)  [Remote] [2 Year Term]

No Visa Sponsorship is available for this position.

This is a 2 year term appointment which may be ended or extended based on organizational needs, funding availability, and performance.

About Information Technology @ Cornell and CEMI

Information Technology (IT) is a strategic enabler for many functions at Cornell University, with staff located across colleges, administrative units, and campuses throughout the institution. While comprised of many organizations, IT operates as one partnering closely with faculty, staff, and students to support teaching, research, and business operations. By being embedded where the Cornell community is, IT is well positioned to provide support ranging from day‑to‑day needs to large, complex initiatives that advance major academic, research, and operational objectives across the university. Check out this link to find out more about IT@Cornell. 

The Cornell Experience Modernization Initiative (CEMI) is a multi-year program designed to improve the experience of students, faculty, staff, alumni, donors, patients, and partners by unifying and enhancing administrative systems and processes across all Cornell University locations. Its name CEMI is said as “See Me” because the focus is on you: the people who use Cornell’s systems and data to accomplish your goals.

What will you do:

As a member of Cornell Information Technologies’ Data Warehousing and Integrations team, the Data Engineer is a member of a team who develops and supports robust, reliable, and standardized data solutions in support of Cornell’s data analytic, data warehousing and data lake ecosystem. This is an area of rapid change where the Data Engineer is expected to learn and apply new technical skills on an ongoing basis. The Data Engineer will work daily with customers and colleagues to develop and support a vast data environment.  

Primary Responsibilities include:

• Work collaboratively with customers and IT team members to develop new data lake/data warehouse content that is enterprise grade and supportable
• Proactively support the many data feeds, transformations, and updates which make up Cornell’ DL/DW echo system
• Act as a DL/DW liaison, and subject matter expert, to project teams requesting DL/DW resources
• Research and conduct impact analysis of changing schema and data model requirements
• Develop and maintain documentation and standard operating procedures
• Support the migration of ETL code and database objects
• Learn new tools and environments quickly as the data analytics space evolves
• Participate in the 24X7 DL/DW On Call support rotation

This is a 2 year term appointment which may be ended or extended based on organizational needs, funding availability, and performance.

While position responsibilities vary, every member of our community is expected to foster a culture of belonging and a healthy work environment by communicating across differences; being cooperative, collaborative, open, and welcoming; showing respect, compassion, and empathy; engaging and supporting others regardless of background or perspective; speaking up when others are being excluded or treated inappropriately; and supporting work/life integration of oneself and others.

Required Qualifications:

• Bachelor’s degree with 3–5 years of relevant experience, or an equivalent combination of education and experience.
• Demonstrated experience using SQL, including Data Definition Language (DDL) and Data Manipulation Language (DML).
• Development experience working with relational database platforms such as PostgreSQL, Oracle, or Microsoft SQL Server.
• Proven experience developing data transformation solutions using one or more programming languages.
• One to two years of related experience in at least two of the following areas:
  • Data analysis
  • Data warehouse or data lake design and construction
  • Report and dashboard development
• Strong interest in and aptitude for becoming highly proficient in a rapidly evolving technical and analytical environment.
• Strong development skills, including the ability to quickly understand functional requirements and efficiently apply technical solutions to achieve desired outcomes.
• Demonstrated success working in a fast‑paced IT or business environment that requires continual learning and adaptation.
• Proven problem‑solving skills and ability to independently develop technical expertise.
• Excellent verbal and written communication skills, with the ability to multitask and work collaboratively in a team‑oriented environment.
• Ability to cultivate and develop inclusive working relationships with students, faculty, staff, and community members. 

Preferred Qualifications:

• Experience developing and supporting data transformations using an ETL product such as: Informatica, Data Stage, WhereScape, Talend, etc.
• Experience with a database procedural language
• Experience with Python
• Understanding of dimensional data modeling concepts
• Experience with cloud services, such as AWS (S3, Redshift, Glue, Athena, RDS, EMR)

Application Information:

• A resume is required for further consideration for this position. A cover letter expressing alignment with Cornell’s mission and this role is strongly encouraged. When applying through our system, please remember to attach your application materials (Cover Letter and Resume) in PDF format.  
• No Visa Sponsorship of any kind is available for this position. 
• No Relocation assistance will be provided for this position. 

Rewards and Benefits

• This position is based in Ithaca, New York, however, the successful applicant may perform this role remotely anywhere within the United States. Employees who work remotely may receive multiple W-2 Forms depending on their work location. The New York Convenience of employer guidelines require New York State individual tax reporting and withholding for this position. Additional individual state income tax filings may also be required if working temporarily outside of New York State. The university reserves the right to modify, suspend, or terminate the remote or hybrid work arrangement at any time.
• Cornell receives national recognition as an award-winning workplace for our health, wellbeing, and sustainability. Our benefits programs include comprehensive health care options, generous retirement contributions, access to wellness programs, and employee discounts with local and national retail brands. We invite you to follow this link to get more information about our benefits: Understand Your Benefits | Working at Cornell.
• Our leave provisions include health and personal leave, three weeks of vacation and 13 holidays: Martin Luther King, Jr. Day, Memorial Day, Juneteenth, Independence Day, Labor Day, Thanksgiving and the day after, and an end of the year winter break from December 25-January 1. To offer greater flexibility for observing faiths and traditions we also offer two additional floating holidays. Learn more about our generous leave provisions: Holiday and Accrued Time Off | Working at Cornell
• Cornell's impressive educational benefits include tuition-free Extramural Study and Employee Degree Program, tuition aid for external education, and Cornell Children's Tuition Assistance Program. Learn more about our extensive educational benefits: Education Benefits | Working at Cornell
• Follow this link to learn more about the Total Rewards of Working at Cornell: Total Rewards | Working at Cornell.

   

University Job Title:

Business Intelligence Eng III

   

Job Family:

Information Technology

   

Level:

F

   

Pay Rate Type:

Salary

   

Pay Range:

$88,337.00 - $102,662.00

   

Remote Option Availability:

Remote

   

Company:

Endowed

   

Contact Name:

Maria Avila

   

Contact Email:

mia28@cornell.edu

   

Job Titles and Pay Ranges:

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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:

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• Education level to the extent education is relevant to the position

• Unique applicable skills

• Academic Discipline

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2026-05-04