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Town of Ithaca, New York, United States
Remote only
Not Available
Working Title: Data Modeler (CEMI) [Remote] [2 Year Term]
No Visa Sponsorship is available for this position.
This is a two (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.
The Data & Analytics function supports enterprise reporting and decision-making by integrating data from ERP systems and other institutional sources into a centralized data environment. The team develops scalable data models, analytics solutions, and reporting tools that enable business units across the university to efficiently access, interpret, and act on data.
What will you do:
The Data Modeler (CEMI) serves as a senior individual contributor responsible for the design, development, and maintenance of enterprise data models and analytics solutions supporting institutional reporting and decision-making.
This position leads the design of dimensional data models, data warehouses, and data marts, translating complex business requirements into scalable, high-performance data structures. This position will analyze source data structures and business processes from which they will build fact and dimension tables in a database. This role requires ability to work with SQL and to understand database fundamentals. This role will also be involved with the testing and validation of both data and models. The role works collaboratively with business stakeholders, data architects, developers, and analysts to define requirements, design solutions, and ensure data quality and usability across reporting platforms.
The Data Modeler functions as a technical authority and subject matter expert, guiding data design standards, mentoring peers, and ensuring solutions align with enterprise architecture and performance expectations. Work is highly complex, involving multiple systems (e.g., ERP, data lake environments) and requires advanced analytical, technical, and problem-solving capabilities.
This is a two (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:
Preferred Qualifications:
Application Information:
Rewards and Benefits
University Job Title:
Business Intelligence Eng IV
Job Family:
Information Technology
Level:
G
Pay Rate Type:
Salary
Pay Range:
$114,698.00 - $140,186.00
Remote Option Availability:
Remote
Company:
Contact Name:
Maria Avila
Contact Email:
mia28@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
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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.
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2026-06-10
