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Data Infrastructure Jobs in Chicago, IL (NOW HIRING)

Analytics Engineer

Chicago, IL · On-site

$118K - $141K/yr

As an Analytics Engineer, you will design and maintain core data models and infrastructures, enabling data-driven decision-making for both internal teams and clients. Responsibilities : • Own Core ...

Senior Data Base Engineer

Chicago, IL

$154K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Groupon's data infrastructure underpins every merchant deal, every customer transaction, and every operational decision the business makes. As we scale and modernize the platform, the quality of our ...

Data Engineer - Infrastructure

Chicago, IL

$110K - $145K/yr

We are hiring an Engineer to join our Data Engineering Infrastructure team, where you will help build and scale the storage and data platforms that power our HFT business. This is a hands-on role for ...

Data Engineer - Infrastructure

Chicago, IL · On-site

$175K - $225K/yr

  • PTO

We are hiring an Engineer to join our Data Engineering Infrastructure team, where you will help build and scale the storage and data platforms that power our HFT business. This is a hands-on role for ...

Data Engineer - Infrastructure

Chicago, IL · On-site

$175K - $225K/yr

  • PTO

We are hiring an Engineer to join our Data Engineering Infrastructure team, where you will help build and scale the storage and data platforms that power our HFT business. This is a hands-on role for ...

Data Engineer II - Zelle

Chicago, IL · Hybrid

$83K - $124K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Overall Purpose Technical expert responsible for building data science tools/infrastructure. The Data Engineer evaluates, designs, and develops business intelligence solutions across multiple ...

Data Engineer (Remote)

Chicago, IL · Remote

$117K - $140K/yr

  • Retirement

You will design and manage data infrastructure that processes large, complex datasets, including prescription (Rx) data from our partners, eligibility files, transaction data, and financial flows.

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Data Infrastructure information

See Chicago, IL salary details

$25.7K

$126.6K

$200.7K

How much do data infrastructure jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data infrastructure in Chicago, IL is $126,570.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,128.00 and $160,121.00 per year, depending on experience, location, and employer.

What are some typical challenges faced in a data infrastructure role and how are they addressed?

Professionals in Data Infrastructure often face challenges such as scaling systems to handle growing data volumes, ensuring data security, and maintaining high availability. Addressing these requires proactive system monitoring, automation, regular performance tuning, and implementing best practices for backup and disaster recovery. Collaboration with data engineering, analytics, and IT security teams is essential to resolve bottlenecks and optimize data flows. Staying current with emerging technologies also helps in innovating and improving existing infrastructure over time.

What are the key skills and qualifications needed to thrive in the data infrastructure position, and why are they important?

To thrive in Data Infrastructure, you need a solid understanding of data architecture, database management, and distributed systems, often supported by a degree in computer science or a related field. Proficiency with tools such as SQL, Hadoop, Spark, AWS, and certifications like Google Cloud Professional Data Engineer are highly valued. Strong problem-solving abilities, effective teamwork, and clear communication help professionals excel in this collaborative and fast-evolving area. These skills ensure robust, scalable data systems that support reliable analytics and decision-making across the organization.

What are data infrastructure roles?

Data infrastructure roles involve designing, building, and maintaining the systems and tools that store, process, and manage data within an organization. These roles often require knowledge of databases, cloud platforms, data pipelines, and scripting languages, and may include positions such as data engineer, data architect, or database administrator.

What is a data infrastructure?

A Data Infrastructure job focuses on designing, building, and maintaining the systems that store, process, and manage data for an organization. This includes databases, data pipelines, cloud storage, and data processing frameworks to ensure efficient data flow and accessibility. Professionals in this role work with technologies like SQL, NoSQL, Hadoop, Spark, and cloud platforms to support data engineers, analysts, and scientists. The goal is to provide a scalable, reliable, and secure foundation for handling large volumes of data.

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

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

What job categories do people searching Data Infrastructure jobs in Chicago, IL look for?

The top searched job categories for Data Infrastructure jobs in Chicago, IL are:

Infographic showing various Data Infrastructure job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $126,570 per year, or $60.9 per hour.

Data Manager (Value Based Care)

Vitae Health Systems

Park Ridge, IL • Hybrid

$125K - $135K/yr

Full-time

Re-posted 8 days ago


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.