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Data Engineering Jobs in Chicago, IL (NOW HIRING)

Rewards Network

Data Engineering Lead (Hybrid)

Chicago, IL · Hybrid

$105K - $139K/yr

Job Overview The Data Engineering Lead is responsible for driving the modern data engineering foundation at Rewards Network while providing technical leadership across both data engineering and data ...

Rewards Network

Data Engineering Lead (Hybrid)

Chicago, IL · Hybrid

$105K - $139K/yr

Job Overview The Data Engineering Lead is responsible for driving the modern data engineering foundation at Rewards Network while providing technical leadership across both data engineering and data ...

Coates Group

Tech Lead, Data Engineering

Chicago, IL · On-site

$145K - $165K/yr

Provide hands-on technical leadership, mentoring, and architectural direction for a growing team of data engineers and cross-functional stakeholders Capabilities * Ability to design scalable, secure ...

Coates Group

Tech Lead, Data Engineering

Chicago, IL · On-site

$145K - $165K/yr

... of data engineers and cross-functional stakeholders Capabilities • Ability to design scalable, secure, and cost-efficient data architectures that support enterprise analytics and future AI ...

Coates Group

Tech Lead, Data Engineering

Chicago, IL · On-site

$145K - $165K/yr

... data engineers and cross-functional stakeholders Capabilities Ability to design scalable, secure, and cost-efficient data architectures that support enterprise analytics and future AI initiatives ...

Joint Commission

Data Engineer

Villa Park, IL · On-site

$107K - $143K/yr

Data Engineering & Pipeline Development · Design, develop, and maintain scalable data pipelines using Azure Data Factory, Databricks, Foundry, and Microsoft Fabric. · Build and optimize data ...

New

Rise

Director, Analytics, Data Engineering

Chicago, IL · On-site

The Director, Data Engineering - Architect is responsible for defining and governing the enterprise data architecture strategy that powers the Quad/Rise Data Stack. This role provides architectural ...

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All JobsData Engineering JobsData Engineering Jobs in Chicago, IL

Data Engineering information

See Chicago, IL salary details

$47.4K

$170.1K

$251K

How much do data engineering jobs pay per year?

As of Aug 28, 2026, the average yearly pay for data engineering in Chicago, IL is $170,127.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,600.00 and $175,300.00 per year, depending on experience, location, and employer.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

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

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

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

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

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

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

What cities near Chicago, IL are hiring for Data Engineering jobs?

Cities near Chicago, IL with the most Data Engineering job openings:

Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $170,127 per year, or $81.8 per hour.

Data Engineering Lead (Hybrid)

Chicago, IL • Hybrid

Rewards Network
Finance and Insurance • 201 - 500 employees
Learn more about Rewards Networkexternal

$105K - $139K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Job description

About Rewards Network 

For 41 years, Rewards Network has been helping restaurants grow revenue, increase traffic, and boost customer engagement through innovative financial, marketing services, and premier dining rewards programs. By offering unique card-linked offers, we introduce diners to fantastic restaurant experiences, leveraging advanced technology and data analytics to deliver value to restaurants, diners, and our strategic partners' loyalty programs. 

Our Culture 

At Rewards Network, you'll be part of a driven and diverse team that excels in collaboration, issue resolution, and taking ownership of both personal growth and the company's success. We take pride in partnering with the world's most powerful loyalty programs to drive full-price paying customers to local restaurants through marketing services and flexible funding options. Our engaging and rewarding environment is designed to help you gain your full potential. 

Job Overview

The Data Engineering Lead is responsible for driving the modern data engineering foundation at Rewards Network while providing technical leadership across both data engineering and data science functions. The team is mid-migration -actively building on a modern stack- and this role exists to ensure disciplined execution, enforce architectural clarity and consistency.  

The right person is a hands-on player-coach that is comfortable building teams as we invest in building out this competency as a core pillar of our long-term competitive advantage and strategy. That means assessing the current in-flight build and making deliberate decisions about what to keep and what to replace. Initially, the Data Engineering Lead will also manage the Data Science team, including acting as a key resource to the team, prioritizing work, and clearing roadblocks.   

This is a hybrid position that requires in office presence 3 days a week (Tuesday-Thursday) in Chicago. 

What you'll bring to the table: (Responsibilities)
  • Establish and enforce architecture standards that ensure consistent designs that produce repeatable results.  
  • Assess the current state of our data infrastructure - evaluate what needs refactoring, and what should be replaced - then execute on that plan with the team. 
  • Lead the continued build-out of the modern data stack, including ELT pipelines, stream ingestion, transformation logic along with storage and compute - serving as the technical authority when the team needs a decision made. 
  • Hire and develop data engineering talent, grow the team with engineers experienced in modern ELT architectures and develop the existing team members through mentorship, code review, and technical leadership. 
  • Define and maintain the data model RFC process, reviewing proposed changes, enforcing boundary discipline, and ensuring no undocumented changes promote to canonical layers. 
  • Directly lead the data science team, setting priorities, managing workstreams, and translating business problems into clearly scoped DS projects - fostering a culture of accountability, technical rigor, and continuous improvement. 
  • Own data pipeline monitoring and observability, ensuring production pipelines have appropriate alerting, data quality checks, and incident response processes so failures are caught early and resolved quickly. 
  • Provide regular visibility into team progress, architectural decisions, and risks to senior leadership, communicating tradeoffs clearly and escalating when business commitments are at risk. 
Do you have the right mix of ingredients: (Requirements)
  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience) 
  • 6-10 years of experience in data engineering or a closely related discipline 
  • 2+ years in a technical lead or staff-level individual contributor role 
  • Familiarity with data science workflows, ML model lifecycle, and MLOps concepts 
  • Expertise in data engineering - including model design, testing strategy, incremental patterns, and layer boundary governance
  • Experience designing and enforcing data modeling standards in a team environment - not just building models, but establishing the patterns others follow 
  • Demonstrated ability to bring a team along technically - through code review, documentation, mentorship, and setting standards that stick 
  • Familiarity with CI/CD for data pipelines (GitLab or equivalent) - including automated testing, deployment workflows, and environment promotion strategies 
  • Experience with data observability and monitoring - alerting on pipeline failures, data quality degradation, and freshness SLAs (familiarity with tools like Elementary, Monte Carlo, or equivalent) 
  • Strong decision-making under ambiguity - this role requires someone who can move forward with incomplete information and course-correct, not someone who needs consensus to proceed 
  • Clear, direct communicator who can translate technical tradeoffs for non-technical stakeholders 
  • Technical expertise in: Python, Apache Airflow, Apache Kafka, cloud data warehouses (Redshift, GBQ, Databricks)  

Education, Certifications and Experience: Preferred 

  • Advanced degree in a technical field 
  • Experience at a company that has completed a similar legacy-to-modern warehouse migration 
  • Prior experience managing or mentoring data engineers 
What you'll love about us: 

Comprehensive benefits package, which includes:

  • This is a full-time, exempt position. The base salary range for this role in Chicago is $190,000-$220,000 annually, depending on candidate's experience, as well as skills, and other factors. This role is also eligible for an annual bonus target of 15%, bringing total target compensation to $218,500-$253,000.
  • Competitive Time Off Benefits: including flexible PTO, 11 company holidays, and parental leave. 
  • Generous dining reimbursement when you dine with our restaurant clients 
  • 401(k) plan with a company match
  • Two medical plan options- Standard PPO or High Deductible Health Plan (HSA with company match for HDHP participants)
  • Partnership with Rx n Go, offering certain prescriptions for free
  • Two dental plan options and a vision plan
  • Flexible Spending Accounts and a pre-tax commuter benefit program
  • Accident, Critical Illness, and Hospital Indemnity Insurance Plans
  • Short Term and Long Term disability 
  • Company-paid life insurance and AD&D insurance, supplemental employee, spouse, and child life insurance 
  • Employee Life Assistance Program
  • Hybrid working environment in a new office space downtown near the Metra Train stations and catered lunches on Tuesdays. 

Rewards Network is an Equal Opportunity Employer (EOE). We encourage and strongly support workplace diversity.

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