ZipRecruiter

Log In

1

Data Engineer Jobs in Bloomington, IL (NOW HIRING)

Rivian

Sr. Series Engineer, Powertrain

Normal, IL · On-site

$98K - $123K/yr

... Manager, Driveline Series Engineering. Responsibilities Maintain Product Integrity ... This data includes contact, demographic, communications, educational, professional, employment ...

Rivian

Sr. Series Engineer, Powertrain

Normal, IL · On-site

$98K - $123K/yr

... Engineering for Driveline Production lines and the general assembly of our electric drive units ... Candidate Data Privacy and Technology Rivian may collect, use and disclose your personal ...

Rivian

Sr. Series Engineer, Powertrain

Normal, IL

$98K - $123K/yr

... Engineering for Driveline Production lines and the general assembly of our electric drive units ... Candidate Data Privacy and Technology Rivian may collect, use and disclose your personal ...

Belcan

Sr. Material Flow Engineer

Normal, IL · On-site

$41.59 - $55.01/hr

... data analysis and/or workflow automation is a plus ● Ability to understand Engineering and Design direction and provide focused supply-chain solutions accordingly ● Experience with automotive ...

Rivian

Staff Advanced Diagnostics Engineer

Normal, IL · On-site

The role requires a hands-on engineer who can move quickly between vehicle systems, factory equipment, software tools, data, and cross-functional teams. Responsibilities • Act as a senior technical ...

Venteon

2nd Shift Quality Engineer

Normal, IL · On-site

$90K/yr

Requirements of the Quality Engineer * 8+ years of experience * Bachelor's Degree preferred ... Experience with quality data analysis, reporting, and metrics * JIT Experience ideal * Strong ...

Rivian

Staff Advanced Diagnostics Engineer

Normal, IL · On-site

$114 - $143/hr

The Staff Advanced Diagnostics Engineer will establish scalable diagnostic methods, improve ... Own problem resolution using disciplined methods such as 8D, fault‑tree analysis, data analysis ...

previous pagenext page

Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Bloomington, IL

Data Engineer information

See Bloomington, IL salary details

$42.7K

$124.4K

$170.3K

How much do data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data engineer in Bloomington, IL is $124,428.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,800.00 and $131,900.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

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

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

What are popular job titles related to Data Engineer jobs in Bloomington, IL?

For Data Engineer jobs in Bloomington, IL, the most frequently searched job titles are:

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Bloomington, IL as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $124,428 per year, or $59.8 per hour.

Lead Data Scientist - Experimentation

State Farm

Bloomington, IL • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 20 days ago

State Farm rating

7.3

Company rating: 7.3 out of 10

Based on 1,562 frontline employees who took The Breakroom Quiz

242nd of 315 rated insurance

Job description

Overview
Being good neighbors - helping people, investing in our communities, and making the world a better place - is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come join a #1 team and do some good!
HYBRID: Qualified candidates must live or relocate within a 180-mile radius of a hub location listed below and should plan to spend time working from home and some time working in the office as part of our hybrid work environment.
HUB LOCATIONS: Bloomington, IL; Dunwoody, GA; Richardson, TX; or Tempe, AZ
SPONSORSHIP: Applicants for this position are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity.
The Selection Process:
1. After submitting your application, our recruitment team will carefully review your qualifications. If your profile aligns with our requirements, you will receive an invite to complete a video recording.
2. If selected to move forward, you will have the opportunity to participate in a live video interview with members of our hiring team. This interview focus on roleplaying interactions with a data science business partner and interpreting code and graphical outputs.
3. The next step is another live video interview with members of our hiring team. This interview will provide a chance for us to further assess your technical expertise and suitability for the role.
4. Following the successful completion of the Hiring Team round, competitive candidates may be invited to the final stage of the process: an in-person final loop interview. This round will involve interviews with members of our hiring panel, allowing us to gain deeper insights into your skills and experiences.
Responsibilities
A Day in the Life of a Data Scientist at State Farm:
As a data scientist on the Enterprise Experimentation Team, you will help business partners examine new ideas by formulating hypotheses and designing experiments to test those hypotheses, allowing them to accurately and confidently quantify the impact of their strategic decisions. You will serve as a subject matter expert, consultant, and advocate for experimentation. Through this role, you will work to educate others on experimentation and grow the knowledge base of experimentation across the company.
Why Join Our Team:
Being on the Enterprise Experimentation Team will help promote your professional growth across multiple areas. First, you will enhance your business acumen by collaborating with a variety of business areas across the Enterprise to produce designed experiments and actionable results. Second, you will enrich your technical skills by facing challenges that require you to dig into your analytic toolbox to identify the right solution. Finally, you will strengthen your communication skills through interactions with business partners that require you to articulate statistical concepts in non-technical ways.
Data Science at State Farm:
In this role, you will share your knowledge and work to increase the use of Experimentation for decision making across the Enterprise. Below are some of the tasks you can expect in the typical day of a data scientist:
  • Develop and validate advanced analytic models, designed experiments, and other data-driven solutions
  • Provide input into and/or build datasets to support solution development
  • Collaborate with other team members on scoping solutions and project decision points
  • Present on technical topics to peers, leadership, and other stakeholders, including non-technical business partners
  • Lead/mentor other data scientists, interns, and other technical work teams
  • Make strategic recommendations on data collection, integration, and retention requirements, incorporating business requirements and knowledge of best practices
  • Serve as a peer reviewer to other model development teams
  • Establish and leverage a network of associates with business domain and data expertise
  • Instill a business-oriented mindset that delivers business outcomes for State Farm's AI/ML portfolio

Qualifications
Requirements
  • Completed Masters, other advanced degrees, in an analytical field such as statistics, quantitative marketing, experimental psychology, operations research, management science, industrial engineering, etc., with 3+ years of predictive model building experience
  • Practical work experience with, and understanding of, topics associated with A/B testing and other experimental design concepts for business contexts
  • Ability to communicate basic statistical concepts (e.g., statistical significance, confidence intervals, regression models) to business partners
  • Experience building advanced analytic solutions using generalized linear models and at least one of the following: time series analysis, cluster analysis, tree-based algorithms, or neural networks
  • Experience with at least one statistical programming language: Python, R, or SAS

Other Things We Look For:
  • Experience with mixed linear & non-linear model methodologies
  • Experience with statistics-based experimental designs, causal inference, or difference-in-difference based estimation
  • Experience with cloud-based environments (e.g., AWS) or Linux
  • Strong communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels
  • Experience gathering and interpreting business requirements for designing scalable data science solutions in a regulatory environment (e.g., insurance, healthcare, and finance).

Our Benefits
Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week!
  • Potential starting salary range: $110,000 - $160,000. Starting salary will be based on skills, background, and experience (High end of the range limited to applicants with significant relevant experience)
  • Potential yearly incentive pay up to 15% of base salary

At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family!
  • Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus.
  • Stay Well! Focus on you and your family's health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more!
  • Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring.
  • Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union!
  • Take a Little "You" Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you!
  • Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund.
  • Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary.

Visit our State Farm Careers page for more information on our benefits, locations, and the hiring process of joining the State Farm team!

What State Farm employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply