• Oakbrook Terrace, IL
    Today

    Job Description

    TJC Office Headquarters

    Full time

    JR100031


    The Data Engineer is responsible for designing, developing, and optimizing enterprise data pipelines and data


    platforms. This role focuses on building scalable, efficient, and secure data solutions using modern cloud


    technologies. The engineer collaborates with analytics, BI, and business teams to transform requirements into


    reliable data assets that support reporting, analytics, and operational needs.


    Responsibilities:


    Data Engineering & Pipeline Development


    · Design, develop, and maintain scalable data pipelines using Azure Data Factory, Databricks, Foundry, and


    Microsoft Fabric.


    · Build and optimize data ingestion, transformation, and integration processes across structured and


    unstructured data sources.


    · Develop and support data lakes, lakehouses, and data warehouse environments using MSSQL and cloud-


    native platforms.


    · Implement ETL/ELT best practices to ensure performance, reliability, and data quality.


    · Automate data workflows and monitor pipeline health; identify and resolve issues promptly.


    Collaboration & Solution Delivery


    · Work closely with analytics, BI, and business teams to understand data requirements and translate them


    into technical solutions.


    · Partner with cross-functional teams to support data-driven initiatives and ensure pipelines align with


    reporting and operational needs.


    · Contribute to documentation of data structures, transformation logic, and system dependencies.


    Technology Enablement & Best Practices


    · Contribute to evaluating and adopting new tools, frameworks, and technologies that enhance data


    engineering efficiency and scalability.


    · Follow standards for code quality, testing, version control, and documentation.


    · Apply data governance, quality, and reliability principles in daily engineering work.


    Business Intelligence & Analytics Support


    · Build reusable data models and curated datasets to enable self-service analytics.


    · Ensure downstream BI teams receive accurate, well-structured, and timely data.


    · Transform business requirements into scalable and maintainable technical designs.


    Compliance & Security


    · Ensure data engineering solutions align with privacy regulations such as GDPR and HIPAA, as well as internal security requirements. · Maintain proper data access controls and contribute to monitoring data quality and compliance metrics.


    Requirements:


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


    · 5–7 years of experience in data engineering, ETL/ELT development, or cloud data platforms.


    · Hands-on experience with Azure Data Factory, Databricks, Microsoft Fabric, and MSSQL.


    · Strong knowledge of data lake, lakehouse, and data warehouse architectures.


    · Solid understanding of ETL/ELT processes, data modeling, and metadata management.


    · Proficiency in SQL and Python; familiarity with cloud platforms and big data technologies.


    · Ability to diagnose data issues, optimize performance, and work with cross-functional technical and


    business teams.


    Preferred Certifications


    · Microsoft Certified: Azure Data Engineer Associate


    · Databricks Certified Data Engineer


    · Certifications related to data governance, risk, or compliance


    · Master’s degree in Computer Science, Information Systems, or related fields


    Joint Commission offers a comprehensive benefits package. For an overview of our benefits package, please visit our Joint Commission Career Page (https://www.jointcommission.org/en-us/careers#434f5b531a144a35906939ce76ce893c_cf7b457e1e9842329663d569f5c839cb)


    This job description is intended to describe the general nature and level of work performed by an employee assigned to this position. The description is not an exhaustive list of all duties, responsibilities, knowledge, skills and abilities, and working conditions associated with this position. All requirements are subject to possible modification due to business needs and/or reasonable accommodations for individuals with disabilities.


    MIN


    $107,000.00


    MAX


    $143,000.00


    We are an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.


    About Us


    Discover our values, initiatives, partners and more.


    Why Choose Us


    We provide tools for ongoing performance improvement initiatives


    Key Initiatives


    Discover our priorities and how we advance health care.


    Our Team


    Experts collaborate globally to enhance safety practices.

    Numbers & Facts

    LocationOakbrook Terrace, IL

    Skills

    • Best Practicesunmatched
    • Big Dataunmatched
    • Business Intelligenceunmatched
    • Cloud Computingunmatched
    • Computer Scienceunmatched
    • Cross-Functionalunmatched
    • Data Lakeunmatched
    • Data Managementunmatched
    • Data Modelingunmatched
    • Data Processingunmatched
    • Data Qualityunmatched
    • Data Warehousingunmatched
    • Database Extract Transform and Load (ETL)unmatched
    • HIPAA (Health Insurance Portability and Accountability Act)unmatched
    • Healthcareunmatched
    • Identify Issuesunmatched
    • Information Technology & Information Systemsunmatched
    • Information/Data Security (InfoSec)unmatched
    • Metadataunmatched
    • Microsoft Product Familyunmatched
    • Microsoft SQL Serverunmatched
    • Microsoft Windows Azureunmatched
    • Operational Auditunmatched
    • Performance Managementunmatched
    • Performance Tuning/Optimizationunmatched
    • Privacy Regulationsunmatched
    • Problem Solving Skillsunmatched
    • Process Modelingunmatched
    • Python Programming/Scripting Languageunmatched
    • Riskunmatched
    • SQL (Structured Query Language)unmatched
    • Scalable System Developmentunmatched
    • Software Engineeringunmatched
    • Structured Dataunmatched
    • Technical/Engineering Designunmatched
    • Time Managementunmatched
    • Training Data Setsunmatched
    • Unstructured Dataunmatched

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