Data Engineers

Shirley Ryan AbilityLab

United States

Hybrid

USD 104,250 - 124,500

Full time

14 days+

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Job summary

Shirley Ryan AbilityLab is looking for a Data Engineer based in Chicago, IL. This role involves developing innovative data strategies to support clinical and research data needs. The candidate will be tasked with managing data flows and ensuring data quality across platforms.

The ideal applicant will possess either a Master's degree with relevant experience or a Bachelor's with greater experience. Salary ranges from $104,250 to $124,500 per year, alongside comprehensive benefits.

Qualifications

  • Master’s degree plus 2 years experience in data analytics with large data sets.
  • Bachelor’s degree plus 5 years experience also acceptable.
  • Experience in business intelligence is preferred.

Responsibilities

  • Develop secure, stable, scalable long-term plans for hospital data flow.
  • Assist in developing scalable data infrastructure for data analysis.
  • Oversee mapping of data sources to ensure data quality.

Skills

implementation of data security standards
SQL
Python
Tableau development
ETL process development
data modeling

Education

Master’s degree in Information Systems, Computer Science, or Data Science
Bachelor’s degree in a related field

Tools

SQL Server Management Studio
VBA
SSIS

Job description

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 embraces collaboration, excellence, discovery and compassion. You’ll play a role in integrating science and clinical care to help patients achieve better, faster outcomes – as we Advance Human Ability, together.

Job Description

Location: Chicago, IL

Data Engineer

Responsibilities
  • 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 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 to ensure 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.
Qualifications
  • Master’s degree in Information Systems, Computer Science, Data Science or related field plus 2 years of experience in data analytics with large data sets.
  • 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 a related field plus 5 years of progressive experience in data analytics with large data sets also acceptable.

Salary: $104,250 – $124,500 per year.

Benefits: See https://www.sralab.org/benefits

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. Shirley Ryan AbilityLab is an affirmative action employer as required by law.

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