Data Platform Engineer Jobs in Chicago, IL
Data Platform Engineer jobs in Chicago are concentrated in the Loop, River North, and the West Loop tech corridor, with strong demand from financial services, healthcare technology, and enterprise software firms. Employers actively hiring right now include Oracle, Huron Consulting, and UST. 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
- Consulting & Professional Services
- Technology & Software
Data Platform Engineer Jobs in Chicago: Frequently Asked Questions
How do I get a data platform engineer job in Chicago?
Target Chicago's financial services firms in the Loop, health tech companies anchored near the Illinois Medical District, and enterprise software employers concentrated in River North and the West Loop. Hands-on experience with cloud data warehouses, pipeline orchestration tools like Apache Airflow, and platforms such as Databricks or Snowflake stands out strongly here. Connecting with Chicago's active data engineering meetup community also surfaces opportunities before they hit job boards.
Which companies hire data platform engineers in Chicago?
Employers hiring data platform engineers in Chicago right now include Oracle, Huron Consulting, and UST, based on current listings on Migrate Mate as of November 2026. Chicago's hiring pool is especially broad, drawing from large financial institutions, regional health systems, logistics and supply chain companies, and a growing mid-market SaaS sector.
Are there remote data platform engineer jobs in Chicago?
Yes, data platform engineering is well-suited to remote and hybrid arrangements since the core work involves code, cloud infrastructure, and data pipelines rather than on-site hardware. About 100% of data platform engineer openings tied to Chicago are remote or hybrid as of November 2026, reflecting strong flexibility across the market. Architecture design, pipeline development, and stakeholder collaboration in Chicago's financial and tech sectors tend to be the most remote-compatible parts of the role.
How can I get a data platform engineer job in Chicago with little or no experience?
The most realistic entry path in Chicago is landing a data or analytics engineering role at a mid-size company in River North or the West Loop, where smaller teams use junior engineers across more of the stack. Chicago's financial services and health tech firms frequently hire analysts who can demonstrate SQL fluency and basic pipeline work as a stepping stone. Building a portfolio with public cloud projects and contributing to Chicago-area data engineering meetups accelerates visibility with local hiring managers.
Which industries hire the most data platform engineers in Chicago?
Chicago data platform engineer roles concentrate in Consulting & Professional Services and Technology & Software, based on current listings on Migrate Mate as of November 2026. Chicago's dense cluster of commodity trading firms, regional banks, hospital networks, and logistics providers all generate high volumes of transactional data that require robust platform engineering to manage and deliver.
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