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

Sr AI Data Engineer

Chicago, IL ยท On-site

$117K - $175K/yr

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance ... Working experience with ThoughtSpot, Snowflake, semantic data layers, and AI for analytics or ...

Sr AI Data Engineer

Chicago, IL ยท On-site

$117K - $175K/yr

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance ... Working experience with ThoughtSpot, Snowflake, semantic data layers, and AI for analytics or ...

Data & AI Architect

Chicago, IL ยท On-site

$65.75 - $84.50/hr

Data & AI Architect Chicago 3x/wk C2H Goal profile: 12-15+ years in Data Architecture/Data Engineering, strong Snowflake or BigQuery background, experience building enterprise data lakes/lakehouses ...

AI Data Solutions Architect

Lincolnshire, IL ยท On-site

$67 - $86.25/hr

This individual will work closely with engineering, analytics, and business teams to translate ... Design and implement data architectures to support AI and machine learning use cases, including ...

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non ...

West Monroe has an opportunity for a strategic Director, Data Engineering & AI to join our Technology practice. This leader will structure, lead, support, drive, and grow West Monroe's Technology ...

Work You'll Do As a Lead AI and Data Science Engineer II on the team, you will be responsible for: * Lead the design, development, testing, and deployment of machine learning and artificial ...

Data and AI Architect

Riverwoods, IL ยท On-site

$66.25 - $85.25/hr

Partner with Data Engineering, AI/ML Engineering, Analytics, and Platform teams to ensure high-quality, reliable data foundations for AI initiatives * Evaluate and recommend modern data technologies ...

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation * Fact Checking

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Showing results 1-20

Ai Data Engineer information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do ai data engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for ai 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 does an AI data engineer do?

An AI Data Engineer designs, builds, and manages data pipelines and infrastructure to support AI and machine learning models. They collect, process, and store large datasets, ensuring data is clean, structured, and accessible for AI applications. Their role involves working with big data tools, cloud platforms, and databases to optimize performance and scalability. Collaboration with data scientists and software engineers is essential to deploy and maintain AI solutions efficiently.

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

To thrive as an AI Data Engineer, you need strong proficiency in programming (Python, SQL), data architecture, and machine learning fundamentals, typically supported by a degree in computer science, engineering, or a related field. Experience with big data tools (Spark, Hadoop), cloud platforms (AWS, Azure, GCP), and certifications like Google Professional Data Engineer are highly valuable. Excellent problem-solving skills, attention to detail, and effective team communication help distinguish top performers in this role. These abilities ensure the development of robust data pipelines and systems that power accurate AI solutions in a collaborative and rapidly-evolving environment.

What are some common challenges an AI data engineer might face in their daily work?

AI Data Engineers often encounter challenges such as integrating data from diverse sources, ensuring data quality and consistency, and building scalable data pipelines to handle large volumes of information. Working closely with data scientists and software engineers requires strong collaboration and flexibility to adapt to shifting project requirements or algorithms changes. Keeping up with the latest developments in big data and machine learning tech stacks is also crucial. Overcoming these challenges provides a dynamic work environment and offers valuable learning and career growth opportunities.

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

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

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

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

Infographic showing various Ai Data Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $133,627 per year, or $64.2 per hour.

Contract AI Data Engineer

Jet Support Services, Inc.

Chicago, IL โ€ข On-site

$118K - $141K/yr

Contractor

Posted 6 days ago


Job description

About JSSI
Founded in 1989 and headquartered in Chicago, Jet Support Services, Inc. (JSSI) is the largest independent provider of hourly cost maintenance programs for business aviation. JSSI delivers comprehensive coverage for engines, airframes, and auxiliary power units (APUs) across more than 300 different aircraft makes and models, helping owners and operators stabilize maintenance budgets, maximize aircraft availability, and protect asset value throughout the lifecycle of ownership.ย ย ย JSSI has built a portfolio of complementary business lines designed to simplify the economic and technical complexity of business aviation; these include Maintenance teams, Traxxall maintenance tracking software, Parts & Engines, Conklin aircraft cost and performance data, and Aviation Capital asset-based financing solutions. Together, these offerings support owners, operators, and maintenance providers with integrated tools spanning ownership and maintenance planning, execution, and financial management.ย ย ย With more than 6,500 aircraft supported through programs and software platforms, JSSI leverages its unique independence, unmatched scale, and data-driven insight to deliver customized solutions and support models aligned to the interests of each client - regardless of aircraft platform. JSSI is backed by leading institutional investors GTCR, Genstar Capital, and Blackstone. Learn more at jetsupport.com.ย 

JSSI is building an AI-first data platform, and the AI Data Engineer is the person who builds and owns it. You are the platform owner - responsible for the pipelines, the lakehouse, and the governed datasets that make AI and analytics possible across every JSSI business unit.

This is a hands-on, individual contributor role. You will design and build the data infrastructure that AI agents depend on, ensure data quality and governance are production-grade, and work at the intersection of data engineering and AI delivery. You will use Claude Code to build pipelines against JSSI standards and be a core part of how the organization accelerates.

Responsibilities

Own the data platform

  • Own Bronze / Silver / Gold pipelines in Microsoft Fabric and OneLake
  • Model governed semantic layers; serve Power BI via Direct Lake
  • Ingest business-unit data into Azure SQL and ADLS Gen2 with quality and lineage controls
  • Enforce data governance, security, and PII handling aligned to Entra ID
  • Expose curated datasets to AI agents through approved MCP servers only
  • Use Claude Code to build pipelines against JSSI standards (CLAUDE.md / rules)
Requirements

Required

  • Hands-on experience building and maintaining data pipelines in Microsoft Fabric, including Lakehouse architecture and OneLake
  • Proficiency with Bronze / Silver / Gold medallion architecture and semantic layer modeling
  • Experience with Azure SQL, ADLS Gen2, and data ingestion across multiple source systems
  • Understanding of data governance, security, and PII handling practices, including Entra ID alignment
  • Experience exposing data products via APIs or MCP-style interfaces for downstream AI or analytics consumption
  • Active use of AI coding tools (such as Claude Code) as part of your development workflow - not aspirational, but current practice

Strongly preferred

  • Experience building data infrastructure specifically to support AI agents, ML models, or agentic pipelines
  • Familiarity with Power BI and Direct Lake connectivity
  • Experience working within engineering standards, documentation-first workflows, and structured code review practices
  • Exposure to MCP (Model Context Protocol) servers or similar AI data access patterns

Not required

  • People management experience - this is an individual contributor role
  • Aviation or MRO domain knowledge - curiosity and the ability to learn the business context matters more than knowing it on day one

WHO THRIVES IN THIS ROLE

This role is a great fit for someone who takes genuine ownership of data infrastructure - not just someone who builds pipelines when tickets arrive, but someone who thinks about the platform as a product with real consumers. You are already using AI tools to write and ship code faster. You care about data quality as a first principle, not a nice-to-have. And you want to be part of building something that directly enables the AI-first future of a company, not supporting a legacy stack.

JSSI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or other characteristic protected by law.

JSSI does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or Recruiting Team.ย 
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