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Remote Data Engineer Jobs in Springfield, IL (NOW HIRING)

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 ...

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 ...

We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data ... Fully remote across the continental U.S., with a team that's warm and grounded and doesn't treat ...

... data-driven environment, and demonstrate curiosity and a "get things done" attitude. Preferred ... United States & Canada (Remote) What You'll Do: * Lead annual AMS GTM planning process to include ...

Position can be located in any of our offices, hybrid or fully remote Key Responsibilities CAD ... Collaborate with engineering, design, and project teams to resolve CAD related challenges. * Assist ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... missing data handling in alignment with the statistical analysis plan (SAP). * Identify ...

Perform field investigations, data collection, and documentation in accordance with professional ... Coordinate with engineers, planners, environmental scientists, and project managers to support ...

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... Source, construct, and curate authentic datasets including trial data, patient records, and ...

Information Security Architect

Springfield, IL · On-site +1

$61.43 - $92.15/hr

... data. Collaborating with IT, clinical engineering, compliance, privacy, and business teams, the ... Corporate Services o Schedule: Full Time o Location: 100% remote, accepting applicants that can ...

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Remote Data Engineer information

See Springfield, IL salary details

$44.1K

$128.6K

$175.9K

How much do remote data engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for remote 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 remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.

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 Remote Data Engineer jobs in Springfield, IL?

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

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

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

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

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

Infographic showing various Remote 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 $128,563 per year, or $61.8 per hour.

Senior Data Engineer

MSR Technology Group

Springfield, IL • Remote

$105K - $142K/yr

Full-time

Posted 13 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.