[Hiring] ETL Developer @Cornell University

Role Description

This position will require occasional off-hours support. This is a 2 year term appointment which may be ended or extended based on organizational needs, funding availability, and performance. This position is eligible for remote work within the United States, subject to Cornell University's approval process for out-of-state work arrangements and all applicable legal and operational requirements. Candidates must be able to travel to Cornell's Ithaca campus periodically for meetings, training, and other business needs. The university reserves the right to modify or discontinue remote work arrangements as business needs require.

As a member of Cornell Information Technologies’ Data Warehousing and Integrations team, the ETL Developer 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 ETL Developer is expected to learn and apply new technical skills on an ongoing basis. The ETL Developer 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’s Data Lake / Data Warehouse (DL/DW) ecosystem.
• 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.

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.
• Supporting work/life integration of oneself and others.

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
  • ETL 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.

Requirements

• 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).

Benefits

• Comprehensive health care options.
• Generous retirement contributions.
• Access to wellness programs.
• Employee discounts with local and national retail brands.
• Health and personal leave, three weeks of vacation, and 13 holidays.
• Tuition-free Extramural Study and Employee Degree Program.
• Tuition aid for external education.
• Cornell Children's Tuition Assistance Program.