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Data Engineer Jobs in Springfield, IL (NOW HIRING)

MSR Technology Group

Senior Data Engineer

Springfield, IL · Remote

$105K - $142K/yr

Senior Data Engineer (ETL / Python Developer) Remote (Must reside within the Continental U.S.) No C2C, Third-Party Vendors, Sponsorship, or Employer Representatives. Direct candidates only. We are ...

CSpring

Data Modeler

Springfield, IL · On-site +1

$54.25 - $70.25/hr

We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex ...

CSpring

Data Modeler

Springfield, IL · On-site

$54.25 - $70.25/hr

We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex ...

CSpring

Data Modeler

Springfield, IL · On-site

$54.25 - $70.25/hr

We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex ...

CSpring

MDM Data Quality Analyst

Springfield, IL · Remote

We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex ...

CSpring

MDM Data Quality Analyst

Springfield, IL · On-site

We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex ...

CSpring

MDM Data Quality Analyst

Springfield, IL · On-site

We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex ...

MSR Technology Group

IL EDW Data Modeler

Springfield, IL · Remote

$54.25 - $70.25/hr

Collaborate with architects, developers, analysts, and business stakeholders * Define data standards, relationships, keys, and performance optimization strategies * Support cloud modernization and ...

Vergence

Senior ETL/Python Developer

Springfield, IL · On-site

$120K - $162K/yr

The ideal candidate brings strong Tableau and Python engineering expertise, experience working with ... Build and optimize scalable data processing solutions using Python * Support Medicaid analytics and ...

CSpring

MDM ETL Specialist / Developer

Springfield, IL · On-site

At CSpring, we believe in the power of data to drive decisions and real-world impact. We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our ...

CSpring

MDM ETL Specialist / Developer

Springfield, IL · Remote

Description At CSpring, we believe in the power of data to drive decisions and real-world impact. We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data ...

CSpring

MDM ETL Specialist / Developer

Springfield, IL · On-site

At CSpring, we believe in the power of data to drive decisions and real-world impact. We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Springfield, IL

Data Engineer information

See Springfield, IL salary details

$44.1K

$128.6K

$175.9K

How much do data engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data engineer in Springfield, IL is $128,563.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 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 Springfield, IL?

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

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

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

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

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

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Springfield, IL as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $128,563 per year, or $61.8 per hour.

Senior Data Engineer

MSR Technology Group

Springfield, IL • Remote

$105K - $142K/yr

Full-time

Posted 12 days ago

Job description

Senior Data Engineer (ETL / Python Developer)
Remote (Must reside within the Continental U.S.)
No C2C, Third-Party Vendors, Sponsorship, or Employer Representatives. Direct candidates only.
We are seeking a Senior Data Engineer with strong ETL, Python, and cloud data engineering experience to support enterprise data warehouse and analytics initiatives. This role is responsible for building and optimizing scalable data pipelines, modernizing legacy environments, and supporting critical reporting and analytics solutions.
What You'll Do
  • Design, develop, and support enterprise ETL and data integration solutions
  • Build scalable data pipelines using Python, Spark, and Databricks
  • Develop and optimize complex SQL queries, stored procedures, and database solutions
  • Support cloud migration and modernization initiatives
  • Implement data validation, reconciliation, and data quality processes
  • Collaborate with architects, analysts, QA teams, and business stakeholders
  • Troubleshoot production issues and perform root cause analysis
  • Participate in code reviews, source control, and CI/CD processes
Required Qualifications
  • 5+ years of Data Engineering experience
  • 5+ years of ETL development experience using Informatica PowerCenter, Azure Data Factory, Teradata, or similar tools
  • 5+ years of hands-on Python development
  • 5+ years of Teradata experience
  • 3+ years of Spark and Databricks experience
  • Strong SQL development and performance tuning skills
  • Experience with Snowflake, Oracle, SQL Server, or similar platforms
  • Experience with SnowSQL and Snowpark (Python)
  • Experience with Azure DevOps, GitHub, Git, and CI/CD practices
  • Strong analytical, troubleshooting, and problem-solving skills
Preferred Qualifications
  • Healthcare, Medicaid, or Medicare experience
  • State government or large enterprise data warehouse experience
  • Azure cloud experience
  • Data modeling and warehouse design experience
  • PowerShell or Bash scripting
  • API integration experience
  • Experience with data quality, reconciliation, and audit processes
  • Azure certifications
Why Apply?
  • 100% Remote
  • Enterprise-scale data engineering projects
  • Work with Azure, Databricks, Snowflake, Python, and modern cloud technologies
  • High-impact role supporting large data and analytics initiatives
  • Collaborative engineering-focused environment
If you are passionate about Python, ETL development, cloud data platforms, and building scalable enterprise data solutions, we'd love to hear from you.