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Data Analytics Engineer Jobs in Chicago, IL (NOW HIRING)

As a Data Analytics Developer in Crowe's Consulting Practice , your role will focus on designing and implementing data visualization and reporting solutions that empower stakeholders to make informed ...

As a Data Analytics Developer in Crowe's Consulting Practice , your role will focus on designing and implementing data visualization and reporting solutions that empower stakeholders to make informed ...

Specialist, Data Analytics

Chicago, IL · On-site

$137K - $240K/yr

The Specialist, Data Analytics Engineer serves as the technical leader for Master Data Management (MDM) data integration and movement, with accountability for data ingestion, transformation, quality ...

As a Data Analytics Developer in Crowe's Consulting Practice , your role will focus on designing and implementing data visualization and reporting solutions that empower stakeholders to make informed ...

Specialist, Data Analytics

Chicago, IL · On-site

$137K - $240K/yr

The Specialist, Data Analytics Engineer serves as the technical leader for Master Data Management (MDM) data integration and movement, with accountability for data ingestion, transformation, quality ...

As a Data Analytics Developer in Crowe's Consulting Practice , your role will focus on designing and implementing data visualization and reporting solutions that empower stakeholders to make informed ...

Specialist, Data Analytics

Chicago, IL · On-site

$137K - $240K/yr

The Specialist, Data Analytics Engineer serves as the technical leader for Master Data Management (MDM) data integration and movement, with accountability for data ingestion, transformation, quality ...

Senior Analytics Engineer

Chicago, IL · On-site

$107K - $147K/yr

Working closely with Data Engineering, Data Architecture, and the BI team, you will translate ... Mentor Analytics Engineer I / junior engineers, review their code, and set the modeling patterns ...

SUMMARY Greystar's D²AI organization (Data, Digital, and AI) is responsible for the platforms ... As an Analytics Engineer on one of Decision Intelligence's forward-deployed pods, you'll turn that ...

Undergraduate degree in Social Science, Data Analytics, Statistics, Information Systems/Technology, Business, Engineering, Finance, Mathematics, Computer Science or related subject area * 2 to 4 ...

Posted today

Showing results 21-40

Data Analytics Engineer information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do data analytics engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data analytics engineer in Chicago, IL is $133,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $141,600.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

What are the key skills and qualifications needed to thrive as a data analytics engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

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

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

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

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

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

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

Infographic showing various Data Analytics Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $133,627 per year, or $64.2 per hour.

Associate Principal, Data Analytics Engineering

The Options Clearing

Chicago, IL • Hybrid

$124K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Key responsibilities

  • Expand OCC's analytics capabilities by making data accessible and usable to analysts throughout the organization.

  • Design, build, and maintain the internal analytics data warehouse, including extract, load, and transform processes.

  • Collaborate with teams to develop cloud data warehouse infrastructure, data ingestion frameworks, and data models for analysis and dashboard development.


Job description

Duties:

Expand OCC's analytics capabilities by making data accessible and usable to analysts throughout the organization. Act as an active contributor to the design and build of our internal analytics data warehouse and the maintenance of the supporting extract, load, and transform processes. Become an expert on OCC's data sets and support teams across the organization in successfully harnessing this data. Drive the team responsible for gathering requirements and designing solutions that address the problem at hand while also anticipating yet-to-be-asked analytical questions, as well as collaborating with team members in defining and owning processes for developing and maintaining our analytics platform to meet the company's security and IT standards. Design and implement cloud data warehouse infrastructure for internal facing analytics in collaboration with OCC's Data Platform and other teams. Develop a batch process data ingestion framework for extraction from systems and loading to target location(s). Build data models to ensure information is available in our analytics warehouse for downstream uses, such as analysis and dashboard development. Maintain performance requirements of our analytics warehouse by tuning warehouse optimizations and storage processes. Collaborate with DBAs to design access controls around our analytics warehouse to meet business and internal governance needs. Create documentation and testing to ensure data is accurate and easily understandable. Use IaC tools like Terraform and Ansible to provision AWS cloud hardware and software, enabling teams to perform model development and run backtesting. Leverage Python frameworks, data modeling, shell programming and configuration as code to build SQL ETL (Extract Transform Load) pipelines to serve accurate business-oriented datasets to business users. Implement DevOps practices like containerizing app code with Docker and Continuous Integration pipelines with tools like Jenkins and JFrog Artifactory to ensure high quality code. Integrate services securely with HashiCorp Vault to manage secrets, and orchestrate data intensive applications with orchestrators like Automic UC4 and Apache Airflow. Promote self-service capabilities and data literacy for business users leveraging the platform through development of training presentations and resources. Discover and share best practices for data and analytics engineering with members of the team. Invest in your continued learning on data and analytics engineering best practices and evaluate them for fit in improving maintainability and reliability of analytics infrastructure. Assist analysts in solving their analytics questions/challenges. Up to 40% telecommuting permitted. OCC offers a standard benefits package.*This position qualifies for The Options Clearing Corporation's Employee Referral Program.*

Education & Experience Required:

Master's degree in data science, analytics, or related and two (2) years of experience as a data analyst, data analytics associate, or related

Special Skills Required:

Must have work experience with each of the following: 1) Use IaC tools like Terraform and Ansible to provision AWS cloud hardware and software, enabling teams to perform model development and run backtesting; 2) Leverage Python frameworks, data modeling, shell programming and configuration as code to build SQL ETL (Extract Transform Load) pipelines to serve accurate business-oriented datasets to business users; 3) Implement DevOps practices like containerizing app code with Docker and Continuous Integration pipelines with tools like Jenkins and JFrog Artifactory to ensure high quality code; and 4) Integrate services securely with HashiCorp Vault to manage secrets, and orchestrate data intensive applications with orchestrators like Automic UC4 and Apache Airflow. Up to 40% telecommuting permitted.

Salary

$124,400-$140,500

Apply:

OCC offers a standard benefits package. See a full list of benefits here: https://www.theocc.com/careers/thriving-together. Apply online at www.theocc.com. No calls. EOE.

About Us

The Options Clearing Corporation (OCC) is the world's largest equity derivatives clearing organization. Founded in 1973, OCC is dedicated to promoting stability and market integrity by delivering clearing and settlement services for options, futures and securities lending transactions. As a Systemically Important Financial Market Utility (SIFMU), OCC operates under the jurisdiction of the U.S. Securities and Exchange Commission (SEC), the U.S. Commodity Futures Trading Commission (CFTC), and the Board of Governors of the Federal Reserve System. OCC has more than 100 clearing members and provides central counterparty (CCP) clearing and settlement services to 19 exchanges and trading platforms. More information about OCC is available at www.theocc.com.

Benefits

A highly collaborative and supportive environment developed to encourage work-life balance and employee wellness. Some of these components include:

  • A hybrid work environment, up to 2 days per week of remote work
  • Tuition Reimbursement to support your continued education
  • Student Loan Repayment Assistance
  • Technology Stipend allowing you to use the device of your choice to connect to our network while working remotely
  • Generous PTO and Parental leave
  • 401k Employer Match
  • Competitive health benefits including medical, dental and vision

Visit https://www.theocc.com/careers/thriving-together for more information.

Compensation

  • The salary range listed for any given position is exclusive of fringe benefits and potential bonuses. If hired at OCC, your final base salary compensation will be determined by factors such as skills, experience and/or education.
  • In addition, we believe in the importance of pay equity and consider internal equity of our current team members as part of any final offer.
  • We typically do not hire at the maximum of the range in order to allow for future and continued salary growth. We also offer a substantial benefits package as noted on www.theocc.com/careers
  • All employees may be eligible for a discretionary bonus. Discretionary bonuses are based on various factors, including, but not limited to, company and individual performance and are not guaranteed.

Step 1
When you find a position you're interested in, click the 'Apply' button. Please complete the application andattach your resume.

Step 2
You will receive an email notification to confirm that we've received your application.

Step 3
If you are called in for an interview, a representative from OCC will contact you to set up a date, time, and location.

For more information about OCC, please click here.

OCC is an Equal Opportunity Employer