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Data Engineering Jobs in Chicago, IL (NOW HIRING)

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 ...

... 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 ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations, so solution ...

Data Engineer

Chicago, IL

$118K - $141K/yr

Our capabilities range from Data Engineering, Visualization, Data Management to Advanced analytics, Big Data, Cloud and Machine Learning. Our uniqueness is in bringing the right mix of technology and ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... based data engineering environments and data processing frameworks. Mandatory skills * Strong ETL * Python * SQL * PySpark * Angular for front-end development * Experience with AWS services (S3 ...

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

This role sits at the intersection of Product Engineering, Data, and Machine Learning. You will be responsible for creating reliable, scalable, and high-quality data systems that enable downstream ML ...

New

Data Engineer

Chicago, IL

$118K - $141K/yr

Support machine learning and AI solutions through data engineering, feature engineering, and operationalization activities. * Build reusable frameworks, components, and automation capabilities to ...

Data Engineer

Chicago, IL · Remote

$117K - $140K/yr

This role sits at the intersection of Product Engineering, Data, and Machine Learning. You will be responsible for creating reliable, scalable, and high-quality data systems that enable downstream ML ...

New

Showing results 41-60

Data Engineering information

See Chicago, IL salary details

$47.4K

$170K

$250.8K

How much do data engineering jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data engineering in Chicago, IL is $169,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,500.00 and $175,100.00 per year, depending on experience, location, and employer.

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 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.

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 are essential for building and maintaining data pipelines, often working with tools like Apache Spark, Hadoop, and cloud platforms, and typically require strong programming and database skills. The demand is expected to remain strong as organizations continue to prioritize data infrastructure.

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.

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 cities near Chicago, IL are hiring for Data Engineering jobs? Cities near Chicago, IL with the most Data Engineering job openings:
Infographic showing various Data Engineering job openings in Chicago, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $170,127 per year, or $81.8 per hour.

Tech Lead, Data Engineering

Coates Group

Chicago, IL • On-site

$145K - $165K/yr

Full-time

Re-posted 12 days ago


Job description

Be Part of Our Next Chapter
For over almost 60 years, our solutions have enabled impactful connections between some of the world's leading brands and their customers. And while we've already done a lot of work we're proud of, we're just getting started!
We're a global technology company focused on creating dynamic, smart, personalized and engaging customer experiences powered by our range of digital hardware, our proprietary content management system and our industry leading signage solutions. (For example: If you've ordered in-store or in the drive-thru at McDonald's somewhere in the world in the last few years, chances are you've interacted with our digital solutions.) We work in over 50 global markets and have 9 offices around the world, with a global headquarters proudly located in our founding home of Sydney, Australia.
Coates Group has the values of a family-owned business and the innovative spirit of a start-up, both which fuel our purpose - Creating Connections. Empowering Partnerships. Always Evolving. Through hard work, dedication and creativity, we've become industry leaders who have won awards and set records while remaining focused on continual growth and evolution. We are a 2x Australia Good Design Award winner and successfully completed the largest hardware deployment in Quick Service Restaurant history.
We are curious, charismatic, authentic and we value and leverage the diversity of our crew. We are imaginers, kindness enthusiasts, experts, creators, thinkers, challengers, collaborators and over-achievers. And together, as a Crew, we are revolutionizing the way the world's leading brands leverage technology to drive the best customer experiences.
Responsibilities
• Architect and evolve a scalable, cost-efficient AWS data platform that enables enterprise analytics, reporting, and future AI capabilities
• Design and implement reliable, production-grade data pipelines and processing frameworks for batch and near real-time data
• Define enterprise standards for data architecture, modeling, observability, reliability, and platform performance
• Lead foundational technical decisions across tooling, infrastructure, data design, scalability, and operational efficiency
• Implement and maintain infrastructure-as-code, CI/CD pipelines, and automated deployment practices across the data platform
• Enable high-quality, accessible, and governed data products through scalable semantic layers, curated datasets, and transformation standards
• 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, and cost-efficient data architectures that support enterprise analytics and future AI initiatives
• Strong technical problem-solving and decision-making skills, including balancing tradeoffs between scalability, complexity, performance, and cost
• Ability to establish engineering standards, operational best practices, and reliable platform governance processes
• Strong understanding of CI/CD pipelines, modern software engineering practices, and production support models
• Experience enabling accessible, high-quality data products for analytics, reporting, and downstream business consumers
• Ability to work collaboratively across technical and business stakeholders while providing hands-on technical leadership and direction
• Exposure to streaming technologies (e.g., Kafka or Kinesis), transformation frameworks such as dbt, multi-cloud environments, and/or ML and data science workflows is beneficial
Qualifications
• 6+ years of experience in data engineering with strong expertise in scalable system and platform design
• Proven experience building, modernizing, or significantly evolving enterprise data platforms and architectures
• Deep hands-on experience within the AWS data ecosystem, including production-scale data lake or lakehouse environments utilizing technologies such as S3, Glue, Spark, Athena, and/or Redshift
• Strong proficiency in Python and SQL with experience developing production-grade data pipelines and transformation workflows
• Experience implementing workflow orchestration solutions, preferably Airflow
• Experience with infrastructure-as-code and automated deployment practices using tools such as Terraform or AWS CDK
• Familiarity with modern data warehousing and lakehouse concepts, including dimensional modeling and platforms such as Snowflake, Redshift, or Databricks
$145,200 - $165,000 a year
Full Salary Range: $145,200/year (minimum), $155,100/year (midpoint), $165,000/year (maximum).
Pay is based on relevant experience, skills, education, internal equity, and market data. Well-qualified candidates can generally expect offers around the midpoint. Candidates who meet the minimum qualifications but have more limited directly relevant experience for this specific role are typically placed nearer the minimum, while highly experienced candidates with strong role alignment may be placed closer to the maximum.
About Coates
We are industry leaders who have won awards and set records. We are a 2x Australia Good Design Award winner and we successfully completed the largest hardware deployment in Quick Service Restaurant history.
We are led by a forward-thinking CEO who has demonstrated a true passion for people and making Coates a place where people genuinely enjoy working. Our growth plans enable a focus on providing rapid career advancement opportunities for our talent.
Together, we are creators, allowing us to make our purpose a reality - to create immersive brand experiences for everyone.
Join a Crew that Cares
Be part of a global team of talented, ambitious, creative people that value integrity, individuality and inclusivity. (Ask us about our Equality + Empowerment Initiatives).
The benefits include an annual market competitive bonus program and our "Thrive Program" which includes a suite of flexible work options because we're strong believers that you should never miss an important life or work moment. Thrive also provides dedicated time to prioritize our health and wellbeing (think virtual Yoga or meditation sessions), a Global Wellness paid day off to recharge as well as a "Give Back Day" to allow our Crew an opportunity to make an impact in the community.
Be inspired To Be More
We skip the red tape and aim to always stay nimble. We're proud of where we've been and are energized by where we're going. We encourage ideas and perspectives because we know the more we have, the better we are. We work hard but have fun along the way. We push the boundaries but keep it real and authentic. We believe in the values that got us here are the ones that will continue to lead us forward. We are excited by what we've accomplished, but know the best is yet to come.
Coates Group is an Equal Opportunity Employer and does not discriminate on the basis of race, color, creed, national or ethnic origin, gender, religion, disability, age, political affiliation or belief, disabled veteran, veteran of the Vietnam Era, or citizenship status (except in those special circumstances permitted or mandated by law).
Fraud Alert: Employment Scam Advisory
It has come to our attention that unauthorised individuals are impersonating our company and reaching out to job seekers through fraudulent emails, falsely claiming to represent Coates. These emails often request personal information and appear to come from domains that are not affiliated with our organisation, such as coatesgroupcareer.com.
We take this matter very seriously. Coates has reported these incidents to law enforcement and is cooperating with the ongoing investigation. We are committed to protecting the integrity of our recruitment process and the privacy of our applicants.
Please be advised of the following:
- Coates does not operate or communicate through any domain resembling "@coatesgroupcareer.com"
- We do not contact employment candidates via email to solicit personal or financial information
- All applications for employment must be submitted through our official website https://coatesgroup.com/careers or directly through our LinkedIn profile: Coates Group
- All emails from us will come from our official domain, which is [at]coatesgroup[dot]com or via our Applicant - Tracking System (ATS) email address, which is no-reply[at]hire.lever[dot]co
If you receive any suspicious communications purporting to be from Coates, we urge you not to respond, do not click any links, and do not provide any personal information. Your safety and trust are of the utmost importance to us. Thank you for your vigilance.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.