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Data Engineer Jobs in Chillicothe, IL (NOW HIRING)

PROLIM Global Corporation

Data Engineer

Peoria, IL · On-site

$112K - $135K/yr

We are seeking an experienced Data Engineer to design, build, and optimize scalable data pipelines and cloud-based data platforms. The ideal candidate will have strong expertise in Python, SQL, Spark ...

Caterpillar

Data Engineer

Peoria, IL · On-site

$89K - $144K/yr

As a Data Engineer on the Platform Data Engineering team, you will be responsible for developing Python data pipelines that build business data objects used to support applications. What You Will Do:

Caterpillar

Data Engineer

Peoria, IL · On-site

$97K - $158K/yr

... Data Engineering team, you will be responsible for developing Python data pipelines that build business data objects used to support applications. What You Will Do: * Responsibilities of the ...

Bespoke Labs

Data Engineer

Peoria, IL · On-site

$112K - $134K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Caterpillar

Senior Data Engineer

Peoria, IL · On-site

$112K - $183K/yr

As a Senior Data Engineer on the Helios Data Engineering team, you will be responsible for developing Python data pipelines that build business data objects used to support applications. What You ...

Element Materials Technology

Data Processor

Peoria, IL · On-site

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of ... Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ...

RFA Engineering

Quality/Test Engineer

Chillicothe, IL · On-site

$70K - $95K/yr

RFA Engineering (www.rfamec.com) is an engineering service provider dedicated to delivering our ... Collect, analyze, and interpret test data to evaluate product performance, reliability, and ...

RFA Engineering

Manufacturing Engineer

Chillicothe, IL · On-site

$60K - $95K/yr

RFA Engineering (www.rfamec.com) is an engineering service provider dedicated to delivering our ... Analyze manufacturing data and identify opportunities for process improvements and waste reduction.

Epitec

Mechanical Engineer 2

Chillicothe, IL · On-site

$35 - $38.30/hr

Mechanical Engineer Location : Chillicothe, IL Details : 12-month contract with ongoing need ... Analyze test data, summarize findings, and provide technical conclusions and recommendations.

RFA Engineering

Electrical Engineer

Chillicothe, IL · On-site

$70K - $105K/yr

RFA Engineering (www.rfamec.com) is an engineering service provider dedicated to delivering our ... Experience with data acquisition systems and measurement equipment. * Experience with manufacturing ...

IT360, Inc.

AI Engineer

Peoria, IL · On-site

$75K - $110K/yr

AI Engineer Location: Peoria, IL Work Environment: IN-OFFICE ONLY (Peoria, IL) Not a remote or ... Build and maintain end-to-end machine learning pipelines, from data ingestion and preprocessing to ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Chillicothe, IL

Data Engineer information

See Chillicothe, IL salary details

$40.3K

$117.6K

$160.9K

How much do data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data engineer in Chillicothe, IL is $117,598.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,800.00 and $124,700.00 per year, depending on experience, location, and employer.

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.

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.

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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. 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 and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs
What cities near Chillicothe, IL are hiring for Data Engineer jobs? Cities near Chillicothe, IL with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Chillicothe, IL as of August 2026, with employment types broken down into 79% Full Time, 5% Part Time, and 16% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $117,598 per year, or $56.5 per hour.

Data Engineer

PROLIM Global Corporation

Peoria, IL • On-site

$112K - $135K/yr

Full-time

Posted 29 days ago

Job description

We are seeking an experienced Data Engineer to design, build, and optimize scalable data pipelines and cloud-based data platforms. The ideal candidate will have strong expertise in Python, SQL, Spark, ETL processes, and cloud technologies to support data-driven decision-making and advanced analytics.
Key Responsibilities
  • Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
  • Build and optimize data processing solutions using Python, SQL, and Apache Spark (PySpark).
  • Develop batch and real-time data ingestion pipelines.
  • Work with structured and unstructured datasets from multiple data sources.
  • Design and implement cloud-based data solutions using Azure, AWS, or GCP.
  • Develop and maintain data models, data lakes, and enterprise data warehouses.
  • Integrate data from APIs, databases, and streaming platforms.
  • Optimize data pipeline performance and ensure data quality.
  • Collaborate with Data Scientists, Business Analysts, and Software Engineers.
  • Implement CI/CD pipelines and DevOps best practices for data engineering.
  • Troubleshoot production issues and provide ongoing support.
  • Ensure compliance with data governance, security, and privacy standards.
Required Skills
  • 5+ years of experience as a Data Engineer.
  • Strong programming skills in Python.
  • Excellent SQL skills.
  • Hands-on experience with Apache Spark / PySpark.
  • Experience with ETL/ELT development.
  • Strong knowledge of Data Warehousing concepts.
  • Experience with Hadoop ecosystem (Hive, HDFS).
  • Experience with Databricks.
  • Experience with Apache Kafka.
  • Hands-on experience with Apache Airflow or similar workflow orchestration tools.
  • Experience working on Linux/Unix environments.
  • Knowledge of Git and CI/CD pipelines.
Cloud Skills
Experience with one or more of the following:
  • Microsoft Azure (ADF, ADLS, Synapse)
  • Amazon Web Services (AWS)
  • Google Cloud Platform (GCP)
Preferred Skills
  • Snowflake
  • Delta Lake
  • Docker
  • Kubernetes
  • Terraform
  • Scala or Java
  • Power BI or Tableau
  • REST APIs
  • Agile/Scrum methodology
  • Experience working with large-scale enterprise data platforms

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