ZipRecruiter

Log In

1

Data Engineer Jobs in Bloomington, IL (NOW HIRING)

Mankind America

Data engineer

Bloomington, IL · On-site

$137.46 - $168.01/hr

Data Engineer • Full-time job, 40 hours per week • Pay/Salary: $152,734.00 year. NUMBER OF OPENINGS: 2 • LOCATION: MANKIND AMERICA LLC, 808 S Eldorado Rd, Suite 105 F, Bloomington, IL 61704 JOB ...

New

1 point system

Senior Data Engineer

Normal, IL · On-site

$103K - $140K/yr

As a Sr. Data Engineer, you will help build and operate the data foundation that powers analytics across programs and sites. You will design and maintain scalable ingestion pipelines, develop well ...

Kemper

Senior Data Systems Analyst

Bloomington, IL · On-site

The Data Systems Analyst serves as an independent quality function within the Data Engineering ... Partner with engineering and operational teams to prioritize remediation activities. * Track ...

Steampunk

Data Scientist

Bloomington, IL · On-site

$125 - $160/hr

Perform feature engineering, dataset preparation, and model optimization to improve predictive ... Work with Data Engineers to understand and enhance data pipelines, ensuring model-ready datasets ...

Steampunk

MLOps Engineer

Bloomington, IL · On-site

$115 - $150/hr

TheMLOpsEngineer works closely with Data Scientists, AI Developers, Data Engineers, and cloud engineering teams to streamline model deployment, monitoring, and lifecycle management in alignment with ...

Steampunk

Data Solution Architect

Bloomington, IL · On-site

$140 - $180/hr

Data Engineering contributions include assessing, understanding, and designing ETL jobs, data pipelines, and workflows * BI and Data Visualization contributions include assessing, understanding, and ...

New

Seedway, LLC

Data Enablement Specialist I

Bloomington, IL · On-site

$69 - $95/hr

Collaborate with data engineers and IT teams to integrate Tableau with data warehouses and other business systems. Performance Optimization * Analyze and optimize dashboard performance and query ...

next page

Showing results 1-20

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 4, 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.

Data engineer

Mankind America

Bloomington, IL • On-site

$137.46 - $168.01/hr

Other

Posted 3 days ago

New

Job description

Posting Date: 06/01/2026

POSITION: Data Engineer • Full-time job, 40 hours per week • Pay/Salary: $152,734.00 year.

NUMBER OF OPENINGS: 2 • LOCATION: MANKIND AMERICA LLC, 808 S Eldorado Rd, Suite 105 F, Bloomington, IL 61704

JOB DUTIES
  • Develop, maintain, and optimize scalable data pipelines on the Google Cloud Platform (GCP) using tools such as Pub/Sub, DataFlow, and DataProc.
  • Build real-time and batch processing pipelines for streaming data ingestion and processing.
  • Implement end-to-end data solutions to support business needs and analytics requirements.
  • Write efficient Python and PySpark scripts for data processing and transformation.
  • Implement ETL (Extract, Transform, Load) processes to ensure the smooth flow of data between systems and storage solutions.
  • Work with Kafka for real-time streaming data ingestion and processing.
  • Design and implement data warehouse solutions on GCP, ensuring that they scale and support business needs.
  • Build and maintain data lakes and distributed data platforms to handle large volumes of structured and unstructured data.
  • Define database schema, table relationships, and indexing to ensure data integrity and efficient query performance.
  • Work under supervision.
  • Travel and/or Relocation to various unanticipated client sites throughout USA is required.
EDUCATION

Master’s degree in Computer Science /IT/IS/ Engineering (Any) or closely related field with Six (6) months of experience in the job offered or as an IT Consultant or Analyst or Programmer or Developer or Engineer or closely related field.

EXPERIENCE

Experience of Six(6) Months working with ETL, Python and SQL is required. Travel and/or Relocation to Unanticipated Client Sites Throughout USA is required.

#J-18808-Ljbffr

Apply