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Data Infrastructure Jobs in Chicago, IL (NOW HIRING)

Chervon North America

Senior Data Analyst

Naperville, IL · On-site

$65K - $85K/yr

You will serve as a key resource for resolving complex technical issues related to data infrastructure and processes. Leveraging your expertise in data modeling, ETL processes, data warehousing ...

Permute AI, Inc

Senior Data Engineer

Chicago, IL · On-site

$180K - $280K/yr

Permute (www.permute.ai) Overview Permute is seeking a Senior Data Engineer to design, build, and operate the data infrastructure that powers production AI systems. This role is for builders who move ...

Loop

Analytics Engineer

Chicago, IL · On-site

$80 - $100/hr

Ability to manage, optimize, and scale data infrastructure * (Desirable) Global supply chain experience in transportation and logistics * (Desirable) Previous experience setting up a data stack in a ...

JLL

Manager, Data Analytics- Industrial

Chicago, IL · On-site

Own the data infrastructure and analytical output that power the National Industrial platform. * Design, build, and maintain the core datasets that support Investor business development, Occupier ...

Soda Data

Account Executive

Chicago, IL · Remote

Experience selling to technical buyers - data, infrastructure, or developer tools * Track record of building your own pipeline and closing what you source * Team player that tracks their business in ...

Soda Data

Account Executive

Chicago, IL · On-site

$220 - $260/hr

Experience selling to technical buyers - data, infrastructure, or developer tools * Track record of building your own pipeline and closing what you source * Team player that tracks their business in ...

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All JobsData Infrastructure JobsData Infrastructure Jobs in Chicago, IL

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 Sep 5, 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 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 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 they support data accessibility and security for analytics and decision-making.

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 are popular job titles related to Data Infrastructure jobs in Chicago, IL?

For Data Infrastructure jobs in Chicago, IL, the most frequently searched job titles 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:

Data Infrastructure jobs near you
Infographic showing various Data Infrastructure job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $126,570 per year, or $60.9 per hour.

Product Manager - AI Agents & Data Infrastructure

Xenia

Chicago, IL • On-site

$130 - $175K/hr

Other

Posted 5 days ago

Key responsibilities

  • Own the roadmap for supporting, hardening, expanding, and scaling the AI agents in production.

  • Manage the data infrastructure, including ingestion, normalization, and third-party integrations, that feeds the AI agents.

  • Define and enforce data quality, credibility, and governance standards to ensure reliable AI-generated insights.

Job description

Product Manager – AI Agents & Data Infrastructure

Xenia | Hybrid -- Chicago, IL


About Xenia

We're building AI-native operations software that transforms how frontline teams work. Our platform helps multi-unit restaurant, convenience store, and retail operators run execution and compliance across thousands of locations — with AI agents, already running in production, that turn photos into insights, voice into tasks, and raw data into prescriptive action.


As legacy point solutions have been acquired and folded into larger platforms, Xenia is now one of the few AI-native, standalone platforms purpose-built for this space. We support 500+ multi-location brands and 15,000+ stores managed daily. We raised our Series A (PSG Equity) 6 months ago and continue to scale fast.

The Role

Our AI agents are already in production — analyzing photos, generating insights, and driving action across thousands of locations — and they need dedicated product ownership to support, harden, and scale them. This role owns two tightly linked mandates: scale and amplify those production agents, and build the data infrastructure that feeds them.


An agent is only as good as the data behind it. You'll own the strategy and execution for the ingestion, normalization, and integration layer that turns fragmented operational and third-party data into a clean, credible foundation our agents can reason over — while simultaneously expanding what those agents do and how reliably they perform at scale. Engineering is shipping fast in an agent-driven environment; we need someone who can turn enterprise requirements and customer timelines into a disciplined roadmap, and make sure this ships as a reliable, scalable product rather than a series of one-off asks.


What You'll Do
  • Own the roadmap for our production AI agents — supporting and hardening what's live today, expanding their capabilities, sharpening quality and reliability, and scaling them from early wins to fleet-wide deployment across thousands of locations
  • Own the current and future roadmap for the data infrastructure that powers those agents: ingestion, normalization, and third-party integrations
  • Define and evangelize a normalized data model that scales across diverse customer data sources and feeds every agent
  • Set the bar for data quality, credibility, and governance behind every AI-generated insight — the trust layer that makes agent output shippable to a customer
  • Translate ambiguous, technical requirements from large multi-location operators into clear specs engineering can execute against
  • Partner closely with engineering, sales, and customer success to align delivery with customer deployment timelines
  • Establish how we measure agent performance and impact, so we can prove value and prioritize what to build next

    • What We're Looking For
    • 5+ years of product management experience, with direct experience in data platforms, integrations, API-driven products, or AI/ML-powered features
    • A track record scoping and shipping ingestion/normalization pipelines, third-party integrations, or data-intensive products at a B2B SaaS company
    • Comfort owning products where data quality directly determines output quality — ideally behind AI, ML, or LLM-driven features
    • Experience working with enterprise customers and translating ambiguous, technical requirements into a roadmap
    • Experience partnering tightly with engineering in a fast-moving, agent-driven development environment
    • Bonus: experience with retail, restaurant, or convenience operations, integration-heavy or API-driven B2B platforms, or data warehouse / modern data-stack architectures

    • Compensation

    Targeting $130-$175K base salary plus bonus, confirmed based on tenure and direct experience, plus meaningful upside equity in the company.


    Location
    • On-Site; Hybrid 3-4 days a week

    Apply