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Exempt Data Engineer Jobs in Chicago, IL (NOW HIRING)

Senior Engineer

Lisle, IL ยท On-site

$84K - $127K/yr

... exemption control process and reporting to agencies, analyzing engine and vehicle assembly plant ... This position leverages data analytics tools and digital solutions to improve compliance processes ...

Civil Engineer

Lombard, IL ยท On-site

$70K - $120K/yr

All compensation, exempt or non-exempt status, and benefits will be discussed during the interview ... If you would like more information about how your data is processed, please contact us. apply for ...

Showing results 41-60

Exempt Data Engineer information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do exempt data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for exempt data engineer in Chicago, IL is $133,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $141,600.00 per year, depending on experience, location, and employer.

What is an exempt data engineer?

Exempt Data Engineers are professionals responsible for designing, building, and maintaining the systems and architecture that allow organizations to collect, store, and analyze large amounts of data. The term 'exempt' refers to their employment status under labor laws, meaning they are salaried employees who are not eligible for overtime pay under the Fair Labor Standards Act (FLSA). These engineers typically work with big data technologies, databases, and programming languages to ensure data is accessible, reliable, and secure for analysis and business decision-making.

What are the key skills and qualifications needed to thrive as an exempt data engineer?

To thrive as an Exempt Data Engineer, you need strong expertise in data modeling, SQL, programming (such as Python or Java), and a relevant degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (like AWS or Azure), and data pipeline tools, along with certifications such as Google Data Engineer or AWS Certified Data Analytics, is typically required. Analytical thinking, effective problem-solving, and strong collaboration skills help set top performers apart. These competencies ensure the reliable design, implementation, and management of data systems that support business intelligence and organizational decision-making.

What are some common challenges faced by exempt data engineers when integrating data from multiple sources?

Exempt Data Engineers often encounter challenges when integrating data from various sources, such as incompatible data formats, inconsistent data quality, and varying update frequencies. Addressing these issues typically requires designing robust ETL (Extract, Transform, Load) pipelines and collaborating closely with data analysts, database administrators, and source system owners. Successfully overcoming these challenges not only ensures reliable data flow but also enhances the organization's ability to make data-driven decisions. Proactive communication and thorough documentation are key practices that help streamline integration processes.

What is the difference between Exempt Data Engineer vs Data Analyst?

AspectExempt Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science or related field, often certifications in data engineering toolsBachelor's in Statistics, Data Science, or related field, often certifications in analytics tools
Work EnvironmentDesigning, building, and maintaining data pipelines in tech or finance industriesInterpreting data, creating reports, and providing insights across various industries
Employer & Industry UsageUsed in companies with large data infrastructure, including tech, finance, and healthcareCommon in marketing, finance, healthcare, and retail sectors

Exempt Data Engineers focus on developing and maintaining data infrastructure, while Data Analysts interpret data to generate insights. Both roles require strong technical skills, but Data Engineers typically work more on data architecture, whereas Data Analysts focus on data analysis and reporting.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing need for managing large data systems, building data pipelines, and supporting analytics and machine learning initiatives. Skills in cloud platforms, SQL, and programming languages like Python or Scala enhance job prospects in this field.

What are the most commonly searched types of Data Engineer jobs in Chicago, IL?

The most popular types of Data Engineer jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Exempt Data Engineer jobs?

Cities near Chicago, IL with the most Exempt Data Engineer job openings:

Infographic showing various Exempt Data Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 70% In-person, 10% Hybrid, and 20% Remote job distribution, with an average salary of $133,627 per year, or $64.2 per hour.

Data Manager (Value Based Care)

Vitae Health Systems

Park Ridge, IL โ€ข On-site

$125K - $135K/yr

Full-time

Re-posted yesterday


Key responsibilities

  • Design, build, and maintain the data infrastructure supporting Vitae's VBC programs, including the LEAD ACO.

  • Manage the ingestion, validation, and processing of all CMS-provided data feeds and ensure data accuracy and reconciliation.

  • Develop and maintain standard VBC reporting dashboards and produce ad hoc analyses to support program decision-making.


Job description

Location: Hybrid; 3 days/week in Park Ridge, IL office.

Reports To: Director, Value-Based Care Operations

FLSA Status: Exempt

Compensation: The base salary range for this position is $125,000 - $135,000.

Position Overview

The Manager, VBC Data & Analytics is a technical and analytical leadership role responsible for designing, building, and maintaining the data infrastructure that powers Vitae Health Systems' value-based care programs — including the LEAD ACO. This role reports to the Director, Value-Based Care Operations and serves as the internal expert on all data architecture, feed management, and analytics platform operations related to VBC.

This individual will own the end-to-end data pipeline from CMS and other external data sources through to internal reporting and analytics platforms, ensuring data is accurate, timely, and accessible to support program performance, clinical decision-making, and financial oversight. Beyond infrastructure ownership, this role will also support analytics and reporting work — translating data into actionable insights for VBC leadership, clinical partners, and operational stakeholders.

The ideal candidate combines technical depth in data engineering and architecture with the analytical fluency to communicate performance insights clearly to non-technical audiences.

Key Responsibilities:

Data Infrastructure & Architecture

•        Design, build, and maintain the data infrastructure supporting Vitae's VBC programs, including the LEAD ACO — ensuring systems are scalable, reliable, and aligned with program requirements.

•        Own the architecture and ongoing management of all CMS data feeds, including claims data, attribution files, quality reporting data, and financial reconciliation files.

•        Ensure data pipelines from CMS and other external partners are properly configured, monitored, and maintained to deliver accurate and timely data to downstream systems and users.

•        Partner with IT and any external technology vendors to integrate VBC data infrastructure with the organization's broader analytics and reporting ecosystem.

•        Document data architecture, pipeline configurations, and data governance protocols; maintain up-to-date technical documentation for all VBC data systems.

Analytics Platform Management

•        Ensure the VBC analytics platform is configured correctly, functioning reliably, and meeting the data access and reporting needs of the VBC team, clinical leadership, and operations.

•        Manage platform administration, user access, data refresh schedules, and quality assurance processes to maintain platform integrity.

•        Identify and resolve data quality issues proactively, partnering with upstream data sources and internal stakeholders to remediate root causes.

•        Evaluate and recommend enhancements to the analytics platform as VBC program needs evolve, including new data sources, tools, or reporting capabilities.

•        Serve as the internal subject matter expert on VBC data systems, fielding technical questions and supporting data-related troubleshooting across the organization.

CMS Data Management & Program Compliance

•        Manage the ingestion, validation, and processing of all CMS-provided data feeds including Shared Savings reports, Claim and Claim Line Feeds (CCLFs), Quality Performance Reports, and beneficiary attribution data.

•        Ensure data received from CMS is reconciled against internal records and discrepancies are identified, documented, and escalated appropriately.

•        Support timely submission of data to CMS as required by LEAD ACO program requirements, including quality reporting data and other program deliverables.

•        Stay current on CMS data specifications, file format changes, and reporting requirement updates; implement changes to infrastructure and processes as needed.

Analytics & Reporting

•        Develop and maintain standard VBC reporting dashboards and operational reports covering key program metrics including total cost of care, utilization trends, quality performance, attribution, and shared savings estimates.

•        Produce ad hoc analyses for VBC leadership, clinical leadership, and operational stakeholders to support strategic decision-making and program management.

•        Partner with the Clinical Lead, Value-Based Care to translate clinical data findings into actionable population health insights.

•        Support financial reconciliation and performance reporting tied to LEAD ACO risk corridors, sharing rates, and program benchmarks.

•        Present data findings clearly and accessibly to non-technical audiences including VBC leadership, clinical partners, and senior leadership.

Cross-Functional Collaboration

•        Work closely with the Director, Value-Based Care Operations and Clinical Lead, Value-Based Care to ensure data infrastructure and analytics support strategic program priorities.

•        Partner with Finance on cost of care reporting, financial reconciliation, and shared savings calculations.

•        Collaborate with Compliance to ensure data handling, storage, and reporting practices meet HIPAA, CMS, and organizational requirements.

•        Engage with external technology partners, CMS contacts, and convener partners on data-related coordination and issue resolution.

Requirements

Required

•        Bachelor's degree in Data Science, Health Informatics, Computer Science, Statistics, or a related field; Master's degree preferred.

•        Minimum of three (3) years of experience in data engineering, health informatics, or analytics in a healthcare setting.

•        Demonstrated experience building and managing data pipelines, ETL processes, and data architecture in a production environment.

•        Experience working with CMS data products, including CCLFs, quality reporting files, or ACO-specific data feeds — or equivalent experience with complex healthcare claims data.

•        Proficiency in SQL and at least one data engineering or analytics tool (e.g., Python, dbt, Snowflake, Databricks, Tableau, Power BI, or equivalent).

•        Strong analytical skills with the ability to translate complex data into clear, actionable reporting for non-technical stakeholders.

•        High attention to detail and a strong commitment to data quality and accuracy.

Preferred

•        Direct experience supporting an ACO, MSSP, REACH, LEAD, or similar CMS value-based care program.

•        Familiarity with FHIR standards, interoperability frameworks, or health data exchange.

•        Experience with population health platforms or care management analytics tools.

•        Prior experience in a post-acute or complex care population health setting.