Data Engineer Jobs in Chicago, IL
Data Engineer jobs in Chicago are in strong demand, concentrated in the Loop, River North, and the Fulton Market tech corridor, across finance, healthcare, and enterprise software. Employers hiring right now include AECOM, JPMorganChase, and Huron Consulting. Find a role that fits below and apply directly.
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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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Data Engineer Jobs in Chicago: Frequently Asked Questions
How do I get a data engineer job in Chicago?
Focus your search on Chicago's finance and fintech firms in the Loop, healthcare systems anchored in Streeterville and the Medical District, and the growing cluster of enterprise tech companies in Fulton Market. Candidates who can demonstrate experience with cloud data platforms, pipeline architecture, and SQL alongside Python stand out in this market. Tailoring your portfolio to the industry you're targeting gives you a concrete edge over generalist applicants.
Which companies hire data engineers in Chicago?
Chicago data engineer roles are posted by AECOM, JPMorganChase, and Huron Consulting and others right now, based on current listings on Migrate Mate as of November 2026. The Chicago market draws from a wide range of employer types, including global financial institutions, large hospital networks, insurance firms, and B2B software companies that have built significant data infrastructure teams here.
Are there remote data engineer jobs in Chicago?
Yes, though it varies by stack and team. About 81% of data engineer openings tied to Chicago are remote or hybrid as of November 2026, reflecting how broadly distributed data work has become across the industry. Pipeline development, cloud infrastructure, and analytics engineering roles tend to be the most remote-friendly, while roles tied to on-premises systems or regulated data environments at Chicago's major hospitals and banks more often require in-office presence.
How can I get a data engineer job in Chicago with little or no experience?
The most realistic entry path in Chicago is through analyst or business intelligence roles at mid-size companies in River North or the West Loop, where teams are small enough that junior engineers take on data pipeline work early. Chicago's fintech and insurtech startups regularly hire data analysts they expect to grow into engineering functions. Building a public portfolio with dbt, Spark, or Airflow projects and targeting companies that use those tools openly in their job postings accelerates the transition considerably.
Which industries hire the most data engineers in Chicago?
Most data engineer openings in Chicago sit in Technology & Software, Staffing & Recruiting, and Investment & Asset Management, per current listings on Migrate Mate as of November 2026. Chicago's concentration of commodities trading firms, regional insurance carriers, and major healthcare systems creates steady structural demand for engineers who can build and maintain high-volume, compliance-sensitive data infrastructure.
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