AI Data Engineer Jobs in Chicago, IL
AI Data Engineer jobs in Chicago are concentrated in the Loop, River North, and Fulton Market, where demand from finance, healthcare technology, and enterprise software firms stays strong. Employers hiring right now include Logic, The Hartford, and BMO Financial. Scan the live roles below and apply to whichever ones fit.
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Job Requisition: 561335
Address: USA-IL-Chicago-300 South Riverside Plaza
Store Code: Arch/Data - Business Intell & Analy (5119285)
Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which includes five leading omnichannel grocery brands - Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Our associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more.
Primary Purpose
The Staff Data & AI Platform Engineer operates as a senior technical authority who designs reference architectures and reusable patterns for data ingestion, transformation, storage, and delivery-embedding automation, observability, and security into every stage.
Our flexible/hybrid work schedule includes 3 in-person days at one of our core locations (Chicago, IL | Quincy, MA | Salisbury, NC | Mauldin, SC| Scarborough, ME) and 2 remote days.
Applicants must be currently authorized to work in the United States on a full-time basis.
Duties & Responsibilities
- Design reusable patterns for batch and streaming ingestion, transformations, and data product delivery, optimizing for performance and scale.
- Build automation for quality, lineage, and governance checks integrated into CI/CD, including deployment scripts and pipeline templates that reduce manual effort.
- Create and evolve internal tooling, developer platforms, and golden paths that improve reliability and time-to-delivery for data teams.
- Harden security and privacy controls (access, encryption, masking) across platforms and pipelines, integrating controls into automated delivery workflows.
- Elevate reliability with SLOs, telemetry, monitoring/logging/tracing, and automated rollback/reprocessing; contribute to observability implementations (e.g., DataDog).
- Integrate and optimize cloud services and container orchestration where relevant to improve scalability and reduce operational toil.
- Maintain infrastructure as code and repeatable environments using tools such as Terraform, Ansible, or CloudFormation.
- Guide solution decisions for complex programs; run technical reviews and threat/quality modeling to ensure robust outcomes.
- Document standards, playbooks, and reusable components to reduce rework and improve consistency across teams.
- Coach teams on data modeling, performance optimization, and design thinking for data consumer experience.
- May be called upon to support critical escalations and must be available during urgent IT incidents as needed.
Required Qualifications
- Bachelor's degree or equivalent years of work experience.
- 10+ years in data engineering with large scale systems.
- 10+ years working with Azure
- 5+ years working with Databricks
- 5+ years working with Datadog
- Proficiency in distributed data processing, orchestration, and storage patterns.
- Strong automation/scripting skills and version control practices.
- Excellent cross team communication and influence.
Preferred Qualifications
- Experience with feature stores and ML ready data patterns.
- Knowledge of cost optimization and workload right sizing.
Salary Range: $136,160.00-$204,240.00
Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws.
At Ahold Delhaize USA, we provide services to one of the largest portfolios of grocery companies in the nation, and we're actively seeking top talent.
Our team shares a common motivation to drive change, take ownership and enable our brands to better care for their customers. We thrive on supporting great local grocery brands and their strategies.
Our associates are the heartbeat of our organization. We are committed to offering a welcoming work environment where all associates can succeed and thrive. Guided by our values of courage, care, teamwork, integrity (and even a little humor), we are dedicated to being a great place to work.
We believe in collaboration, curiosity, and continuous learning in all that we think, create and do. While building a culture where personal and professional growth are just as important as business growth, we invest in our people, empowering them to learn, grow and deliver at all levels of the business.
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Top Industries Hiring
- Insurance
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AI Data Engineer Jobs in Chicago: Frequently Asked Questions
How do I get a ai data engineer job in Chicago?
Target the Loop and Fulton Market first, where Chicago's densest concentration of fintech, trading firms, and enterprise tech employers actively hire ai data engineers. Candidates with hands-on experience in data pipeline orchestration, ML infrastructure, and cloud platforms like Azure or AWS stand out most. Building a portfolio that reflects large-scale, production-grade pipelines resonates well with Chicago's finance and healthcare technology hiring managers.
Which companies hire ai data engineers in Chicago?
Employers hiring ai data engineers in Chicago right now include Logic, The Hartford, and BMO Financial, based on current listings on Migrate Mate as of November 2026. Chicago's hiring mix is broad, pulling from large financial institutions and insurance firms in the Loop, fast-growing health tech companies in the Medical District corridor, and enterprise software companies anchored in River North and the West Loop.
Are there remote ai data engineer jobs in Chicago?
Yes, and ai data engineering is among the more remote-compatible technical roles given its desk-based, infrastructure-focused nature. About 100% of ai data engineer openings tied to Chicago are remote or hybrid as of November 2026, reflecting the city's mature tech employer base. Pipeline development, model deployment, and data architecture work tend to be the most remote-friendly responsibilities for this role in Chicago.
How can I get a ai data engineer job in Chicago with little or no experience?
The most realistic entry path in Chicago is landing a junior data engineer or analytics engineer role at one of the city's many mid-size insurtech, healthtech, or fintech startups, which hire more flexibly than large institutions. Building public projects on GitHub that demonstrate ETL pipeline design and working knowledge of tools like Spark, dbt, or Airflow gives Chicago hiring managers something concrete to evaluate before an interview.
Which industries hire the most ai data engineers in Chicago?
The sectors hiring the most ai data engineers in Chicago are Insurance and Consulting & Professional Services, based on current listings on Migrate Mate as of November 2026. Chicago's position as a national hub for commodities trading, insurance underwriting, and hospital network operations creates sustained, year-round demand for ai data engineers who can build and maintain production-grade data infrastructure at scale.
See All 52 AI Data Engineer Jobs in Chicago
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