Jobs Companies Shirley Ryan AbilityLab Data Engineers

About this Data Engineers role at Shirley Ryan AbilityLab

Shirley Ryan AbilityLab · Onsite · Chicago, IL

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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About 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.

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