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Senior 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

$54.25 - $70.25/hr

What You'll Do Working closely with data architects, ETL/data engineers, BI developers, DBAs, and business subject matter experts, the Senior Health Data Modeler ensures data structures are scalable ...

CSpring

Data Modeler

Springfield, IL

$54.25 - $70.25/hr

What You'll Do Working closely with data architects, ETL/data engineers, BI developers, DBAs, and business subject matter experts, the Senior Health Data Modeler ensures data structures are scalable ...

New

MSR Technology Group

IL EDW Data Modeler

Springfield, IL · Remote

$54.25 - $70.25/hr

Senior Health Data Modeler (Healthcare EDW) - Remote Remote (Must reside within the Continental U.S ... Collaborate with architects, developers, analysts, and business stakeholders * Define data ...

Vergence Group

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 ...

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 ...

Eaton Aerospace

Senior Manufacturing Engineer

Lincoln, IL · On-site

$126K/yr

  • Medical

  • Retirement

Eaton's Electrical Sector - ARS division is currently seeking a Senior Manufacturing Engineer. This ... Participates in cost reduction program, computes economic data and implements projects; includes ...

Eaton

Senior Manufacturing Engineer

Lincoln, IL · On-site

$86K - $126K/yr

  • Medical

  • Retirement

Eaton's Electrical Sector - ARS division is currently seeking a Senior Manufacturing Engineer. This ... Participates in cost reduction program, computes economic data and implements projects; includes ...

Eaton Aerospace

Senior Manufacturing Engineer

Lincoln, IL · On-site

$86K - $126K/yr

  • Medical

  • Retirement

Eaton's Electrical Sector - ARS division is currently seeking a Senior Manufacturing Engineer. This ... Participates in cost reduction program, computes economic data and implements projects; includes ...

Eaton Corporation

Senior Manufacturing Engineer

Lincoln, IL · On-site

$86 - $126/hr

  • Medical

  • Retirement

Eaton's Electrical Sector - ARS division is currently seeking a Senior Manufacturing Engineer. This ... Participates in cost reduction program, computes economic data and implements projects; includes ...

Eaton

Senior Mechanical Design Engineer

Lincoln, IL · On-site

$86K - $126K/yr

  • Medical

  • Retirement

Eaton's ES AMER ARS division is currently seeking a Senior Mechanical Design Engineer. This is an ... and data security will be protected in accordance with applicable laws. We are committed to ...

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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Springfield, IL

Senior Data Engineer information

See Springfield, IL salary details

$80.3K

$125.2K

$173.4K

How much do senior data engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for senior data engineer in Springfield, IL is $125,205.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,100.00 and $142,700.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

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 Senior Data Engineer jobs in Springfield, IL?

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

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

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

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

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

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Springfield, IL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $125,205 per year, or $60.2 per hour.

Senior Data Engineer

MSR Technology Group

Springfield, IL • Remote

$105K - $142K/yr

Full-time

Posted 9 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.