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Data Engineers

Shirley Ryan AbilityLab · Chicago, IL · Full time

Posted Jun 23, 2026 · We last checked this listing on Oct 6, 2026

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Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

About your past

Tell me about a time you set naming or metadata standards and got people to follow them.

What they are checking: Ability to define standards and drive adoption across teams.

Tell me about a pipeline that failed in production. What did you learn?

What they are checking: Ownership of failures and improvements to prevent them.

What would you do

A researcher needs a dataset quickly, but it hasn't been cleaned. What do you do?

What they are checking: Balancing speed with data quality and honesty about limits.

How would you work with clinical and business users to understand what data they really need?

What they are checking: Communication skills that turn user needs into good data design.

About the work

Walk me through how you would design a data pipeline that pulls from clinical, research and business systems.

What they are checking: Ability to plan secure, scalable pipelines across very different hospital data sources.

How do you handle structured and unstructured data in the same platform?

What they are checking: Experience with mixed data types like EHR fields, notes and device data.

How would you track data quality, completeness and redundancy over time?

What they are checking: Practical methods for monitoring quality, which the posting lists directly.

What steps do you take to keep patient data secure and compliant?

What they are checking: Knowledge of HIPAA, access controls and encryption in data engineering.

How do you plan for data growth, backups and archiving?

What they are checking: Thinking about capacity, life cycle and recovery, as the posting asks.

How do you document data sources and data flows so others can understand them?

What they are checking: Clear mapping and documentation that support analytics and audits.

What tools and cloud platforms have you used for data engineering?

What they are checking: Whether their hands-on tool and platform experience is deep enough to build hospital data infrastructure.

Practice this interview out loud.

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The full job description

As published by Shirley Ryan AbilityLab.

Shirley Ryan AbilityLab is the global leader in physical medicine and rehabilitation for adults and children with the most severe, complex conditions. By joining our team, you’ll be part of our life-changing mission and vision. You’ll contribute to an innovative, multifaceted culture that is second to none — one that embraces collaboration, excellence, discovery and compassion. You’ll play a role in something that’s never been done before as we integrate science and clinical care to help patients achieve better, faster outcomes — as we Advance Human Ability, together. Job Description Summary Job Description Data Engineers for Chicago, IL location. • Develop secure, stable, scalable long-term plans for the flow of hospital data. • Assist in the development of scalable data infrastructure and platforms to collect and process large amounts of data, including structured and unstructured data for analysis by clinical, research, and business resources. • Establish methods and procedures for tracking data quality, completeness, redundancy, compliance and improvement. • Create strategies and plans for data capacity planning, data security, life cycle data management, scalability, backup and archiving. • Help oversee mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality. • Define standards for naming, describing, governing, managing, modeling, cleaning, enriching, transforming, moving, storing, searching, and delivering data securely. • Participate in data and information model design across multiple stakeholders. • Technical environment: Implementation of data security standards in line with HIPAA requirements, SQL, SQL server Management Studio, Python, VBA, SSIS, Requirements Analysis, relational databases, Business intelligence, Tableau development, ETL process development, Data management, Data engineering, Data modeling. Job Requirements • *Masters degree in Information Systems, Computer Science, Data Science or related field plus 2 years of experience in data analytics with large data sets required. • Required skills: implementation of data security standards in line with HIPAA requirements, SQL, SQL server Management Studio, Python, VBA, SSIS, Requirements Analysis, relational databases, Business intelligence, Tableau development, ETL process development, Data management, Data engineering, Data modeling. • Some telecommuting permitted. • (*Bachelor’s degree in Information Systems, Computer Science, Data Science or related field plus 5 years of progressive experience in data analytics with large data sets also acceptable). Salary: $104, 250 – 124,500/yr. Benefits: See https://www.sralab.org/benefits Equal Employment Opportunity Employer Shirley Ryan AbilityLab is an Equal Employment Opportunity Employer. All applicants will be afforded equal employment opportunity without discrimination because of race, color, religion, sex, marital status, national origin or ancestry, citizenship status, age, disability, sexual orientation, gender identity, genetic information, military status, order of protection status, unfavorable discharge from military service, or any other characteristics protected by law. EEO is the Law | EEO is the Law - Know Your Rights | View our Full Policy Shirley Ryan AbilityLab is an Affirmative Action Employer as required by law.

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