ETL Developer

Updated: about 24 hours ago
Location: Chicago, ILLINOIS
Job Type: FullTime


BSD CRI - Data Warehouse

About the Department

The Center for Research Informatics (CRI) is an organization within the Biological Sciences Division (BSD) that provides informatics resources and services to University faculty in alignment with the mission, vision, and values of the academic medical center. Four main services comprise the CRI's operations: application development, bioinformatics, research storage and computing, and clinical research data warehousing and business intelligence. Through these service lines, the CRI enables clinical and translational research of the highest scientific merit and advances the state of the art of clinical research informatics. The CRI recruits intellectually curious candidates looking to deliver innovative and exciting solutions biomedical researchers.
We are committed to increasing diversity, equity, and inclusion for the benefit of our team members, our institution, our clients, and our community. We will accomplish this by incorporating our values into hiring practices, retention, and culture.

Job Summary

Incumbent will be responsible for filling data requests for the Clinical Research Data Warehouse (CRDW), as well as for supporting ETL Architecture and Development. This includes understanding and implementing data extractions, transformations, and loads, writing SQL code to incorporate new data sources into data warehouses and affiliated data marts, both local and distributed, and working with existing teams to further development according to existing standards and conventions. There is also a need for data management expertise. This includes data source acquisition and positioning, providing ongoing feedback and support to expand available data sources while improving the team’s understanding of existing data sources, transforming and loading data into data models and platforms, both standardized and unstandardized, and creating and maintaining a growing body of documentation. Incumbent will perform data analysis to answer research questions under the direction of several University faculty members and also support quality improvement initiatives and external reporting. Finally, this position involves translating technical specifications into SQL code, generating data deliverables, and conducting code review. An ideal candidate will be able to quickly master medical terminology related to filling data requests, communicate effectively with a business analyst and clients, write SQL queries which optimize the organization of data deliverables, perform analyses using R and Python, generate visualizations using Tableau, and adhere to all administrative policies and procedures. Prior to delivery of data, the incumbent will assist with data quality checks, making sure that each deliverable matches the original request specifications and that the data is of the highest quality. The position resides in a federal recharge center.


  • Gather and analyze healthcare and other related data to identify and interpret trends in support of data requests, business cases, and proposed projects.

  • Design, construct, test, and maintain data warehouse and related functionality including extraction and transformation of data using SSIS.

  • Design, develop, and test business intelligence outputs (including visualization) to ensure useful and insightful information using software including R, Python, Tableau, and/or Excel to support research and quality improvement initiatives.

  • Test and validate data with the purpose of understanding and making conclusions to support decision-making processes.

  • Manage a variety of information systems and data files, including large and complex files: analyzing file structure, using and creating file layouts, transforming raw data into finished products.

  • Monitor for timely and accurate completion of select datasets.

  • Participate in strategic initiatives to enhance data management and reporting to support research and quality improvement initiatives.

  • Collaborate closely with a cross-functional team of Data Scientists, Project.

  • Managers, and Developers to ensure high-quality data delivery to faculty.

  • Proactively identify issues and opportunities to improve data systems and related policies as an aspect of data governance.

  • Investigates, analyzes and resolves day-to-day technical problems using standard procedures.

  • Works with stakeholders to gather and analyze requirements for developmental programs. Receives a moderate level of guidance to design applications to meet University and business requirements.

  • Performs code testing on components and works to ensure that appropriate implementation standards are met. Evaluates design alternatives for development cost and solutions using various methods.

  • Supports and maintains existing applications. Works with web developers and responds to requests from users.

  • Performs other related work as needed.

Minimum Qualifications


Minimum requirements include a college or university degree in related field.

Work Experience:

Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.



Preferred Qualifications


  • Understanding of various common data models (OMOP, PCORnet).

  • Experience with ETL tools.

  • Experience working with research methodologies.

Licenses and Certifications:

  • Clarity.

Preferred Competencies

  • High level of problem-solving and decision-making skills.

  • Knowledge of healthcare data including ICD-9, ICD-10, and CPT.

  • Expert in SQL and Excel.

  • Proficiency in relational databases with experience designing transformations, mappings, and working with reference table.

  • Ability to translate technical information to non-technical audiences.

  • Critical thinking and multi-tasking skills with the ability to manage multiple projects.

  • Time management skills.

  • Proficiency in creating technical specifications, business cases, and other development-related documentation. 

  • Experience in other analytic platforms including R, Stata, Python, SAS.

  • Experience with business intelligence and visualization tools such as Tableau, Power BI, etc.

  • Experience investigating data issues and working with a cross-functional team for problem resolution.

  • Energized by working through complex problems.

  • Intellectual curiosity.

Application Documents

  • Resume (required)

  • Cover Letter (preferred)

When applying, the document(s) MUST  be uploaded via the My Experience page, in the section titled Application Documents of the application.

Job Family

Information Technology

Role Impact

Individual Contributor

FLSA Status


Pay Frequency


Scheduled Weekly Hours


Benefits Eligible


Drug Test Required


Health Screen Required


Motor Vehicle Record Inquiry Required


Posting Statement

The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, national or ethnic origin, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.


Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.


We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange.


All offers of employment are contingent upon a background check that includes a review of conviction history.  A conviction does not automatically preclude University employment.  Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.


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