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Remote Microsoft Data Engineer Jobs in Springfield, IL

Senior Data Engineer

Springfield, IL ยท 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 ยท 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 ...

Monitor program performance and use data to evaluate impact, identify gaps, and drive continuous ... This is a remote position that requires travel. * Travel: 50 - 75% field-based interactions ...

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Showing results 1-20

Remote Microsoft Data Engineer information

See Springfield, IL salary details

$44.1K

$128.6K

$175.9K

How much do remote microsoft data engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for remote microsoft 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 Microsoft data engineer?

A Remote Microsoft Data Engineer is a professional who designs, builds, and manages data solutions using Microsoft technologies, such as Azure Data Factory, SQL Server, and Power BI, while working from a remote location. Their responsibilities include developing data pipelines, implementing data models, and ensuring data quality and security. They collaborate with other IT professionals and business stakeholders to enable effective data-driven decision making within an organization. Working remotely, they use online tools and platforms to communicate and complete their tasks efficiently.

What are the key skills and qualifications needed to thrive as a remote Microsoft data engineer?

To thrive as a Remote Microsoft Data Engineer, you need expertise in data modeling, ETL processes, and strong proficiency with SQL, along with a degree in computer science or a related field. Familiarity with Microsoft data platforms such as Azure Data Factory, SQL Server, Power BI, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are highly valued. Excellent problem-solving, communication, and collaboration skills are crucial for remote teamwork and effective project execution. These skills ensure the development of robust data solutions, facilitate seamless collaboration, and support informed decision-making in distributed environments.

How does a remote Microsoft data engineer typically collaborate with cross-functional teams to deliver data solutions?

As a Remote Microsoft Data Engineer, you will frequently collaborate with data analysts, software engineers, and business stakeholders to design, implement, and optimize data pipelines and storage solutions using Microsoft Azure and related technologies. Communication often occurs through virtual meetings, project management tools, and code repositories, making clear documentation and proactive updates essential. You may participate in sprint planning, code reviews, and troubleshooting sessions to ensure that data solutions align with business goals and technical requirements. Building strong remote working relationships and maintaining transparency are key to successful collaboration in this role.

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

AspectRemote Microsoft Data EngineerRemote Data Analyst
Required CredentialsMicrosoft certifications, SQL, cloud platform knowledgeData analysis certifications, SQL, Excel skills
Work EnvironmentCloud-based, technical teams, data engineering projectsBusiness teams, reporting, data visualization
Employer & Industry UsageTech companies, finance, healthcare using Microsoft toolsMarketing, retail, finance analyzing data trends

The Remote Microsoft Data Engineer focuses on building and maintaining data pipelines using Microsoft technologies, while the Remote Data Analyst interprets data to provide business insights. Both roles require SQL skills and often work in cloud environments, but their daily tasks and end goals differ significantly.

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

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

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

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

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

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

Infographic showing various Remote Microsoft 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 โ€ข Remote

$105K - $142K/yr

Full-time

Posted 17 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.