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Data Analytics Engineer Jobs in Illinois (NOW HIRING)

Learn and apply appropriate data science and data engineering techniques to solve business problems * Collaborate with data and analytics colleagues as well as key business stakeholders Work ...

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 ...

Learn and apply appropriate data science and data engineering techniques to solve business problems * Collaborate with data and analytics colleagues as well as key business stakeholders Work ...

Learn and apply appropriate data science and data engineering techniques to solve business problems * Collaborate with data and analytics colleagues as well as key business stakeholders Work ...

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 ...

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 ...

New

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

Work under the direction of the Manager of Data Analytics to assure corporate architecture ... and Data Engineering solution Employ a variety of languages and tools to integrate and automate ...

The Analytics Engineer leads technical work and projects which enable Home Chef to make more and better data-driven decisions. With the broader team, the engineer is responsible for the creation and ...

The Analytics Engineer leads technical work and projects which enable Home Chef to make more and ... Create processes to ensure data quality and cleanliness throughout the pipeline * Utilize business ...

Showing results 41-60

Data Analytics Engineer information

See Illinois salary details

$43.1K

$125.7K

$172K

How much do data analytics engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data analytics engineer in Illinois is $125,698.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $133,200.00 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 Illinois?

The most popular types of Data Analytics Engineer jobs in Illinois are:

What job categories do people searching Data Analytics Engineer jobs in Illinois look for?

The top searched job categories for Data Analytics Engineer jobs in Illinois are:

What cities in Illinois are hiring for Data Analytics Engineer jobs?

Cities in Illinois with the most Data Analytics Engineer job openings:

Infographic showing various Data Analytics Engineer job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 29% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $125,698 per year, or $60.4 per hour.

Full-time, Internship

Medical, Retirement

Posted 4 days ago


John Deere rating

7.7

Company rating: 7.7 out of 10

Based on 295 frontline employees who took The Breakroom Quiz

193rd of 546 rated manufacturers


Job description

There are over 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. And it's why we're investing in our people and our technology like never before! Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW.

John Deere is an equal opportunity employer, including disabled & veterans.

Primary Location: United States (US) - Illinois - Moline Function: Data and Analytics (CA) Title: 2027 Intern - Data & Analytics - 123307 Onsite/Remote: Onsite Position

Your Responsibilities

  • Lead and/or support key analytics projects
  • Manage and work with large, diverse data sets
  • Learn and apply appropriate data science and data engineering techniques to solve business problems
  • Collaborate with data and analytics colleagues as well as key business stakeholders

Work Statement: US Visa sponsorship is not available for this position.

What Skills You Need

  • Pursuing a Bachelor's, Master's, or PhD Degree in Data Science, Analytics, Statistics, Mathematics, Computer Science, Engineering or related quantitative discipline
  • Desired cumulative GPA of 2.8 on a 4.0 scale
  • Knowledge of applied statistical analysis, modeling techniques, and data visualization methods
  • Ability to demonstrate your development of algorithms and predictive models to solve a problem
  • Proficiency in programming languages SQL, R, Python
  • Must pass a Data & Analytics HackerRank Assessment

Must be able to relocate domestically. Assignments can be at various locations throughout the United States, including Quad Cities area (Moline or Davenport), Des Moines area and Chicago.

What You'll Get

At John Deere, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. Here, you'll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement. Interns receive competitive compensation and are eligible for many of the benefits offered to full-time employees, including:

  • Flexible work arrangements
  • Highly competitive base pay
  • Savings & retirement benefits (401k and Defined Benefit Pension)
  • Healthcare benefits
  • Employee Assistance Programs
  • Tuition assistance
  • Fitness subsidies and on-site gyms at specific Deere locations
  • Charitable contribution match
  • Employee Purchase Plan & numerous discount programs for personal use
  • Sponsored housing for onsite internships

Compensation range for the position 3,420- 7,265 monthly

Must be 18 years of age or older to apply

Must be 18 years of age or older to apply

The information contained herein is not intended to be an exhaustive list of all responsibilities and qualifications required of individuals performing the job. The qualifications detailed in this job description are not considered the minimum requirements necessary to perform the job, but rather as guidelines.

The terms of the applicable benefit plans, and all company actions administering or interpreting these plans, continue to control. Deere & Company reserves the right to suspend, amend, modify, or terminate the Plan(s) in any manner at any time, including the right to modify or eliminate any cost-sharing between the company and participants. Changes, which can be made at any time, are made by action of the company's board of directors, or to the extent authorized by resolution of its board of directors, or by the Deere & Company Compensation Committee. In the event of a conflict between the language of the official Plan Documents and this document, the language of the official Plan Documents will control.

ACA Section 1557 Nondiscrimination Notice

The John Deere Health Benefit Plans for Salaried Employees and The John Deere Benefit Plan for Wage Employees comply with applicable Federal civil rights laws and do not discriminate on the basis of race, religion, color, national origin, sex, age, sexual orientation, gender identity or expression, status as a protected veteran, or status as a qualified individual with disability.

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