Data Engineer

Working Title:

Data Engineer [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

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.

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.

* Development experience with Python

* 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…