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# Data Engineers

- **Company:** Shirley Ryan AbilityLab
- **Location:** Chicago, IL, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $71,200.0 - $124,500.0
- **Contract:** Permanent contract
- **Skills:** Backup Devices, Big Data, Hospital Information Systems, Information Systems, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Security, Relational Databases, Information Model, Python (Programming Language), SQL Databases, SQL Server Integration Services, Tableau (Software), Unstructured Data, Information Technology, Vba Programming Language, Data Analytics, Data Management, SQL Server Management Studio (SSMS)
- **Published:** June 24, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=edf4c334fc3ea802

## About the Role

Do you have experience in VBA?, Do you have a Master's degree?, + 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).

## 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.


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