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Remote Microsoft Data Engineer Jobs in Springfield, IL

Contracts Coordinator

Springfield, IL ยท On-site +1

$62K - $75K/yr

Revvity | About Us Revvity is a developer and provider of end-to-end solutions designed to help ... This position is available for remote or hybrid at our Hopkinton, MA location. The Contracts ...

Senior Estimator

Springfield, IL ยท On-site +1

$150K - $180K/yr

This position will be remote with 50% travel to any of our project locations. Depending on residing ... Analyze historical data and use estimating software to calculate costs for labor, materials ...

Monitor program performance and use data to evaluate impact, identify gaps, and drive continuous ... Demonstrated computer skills in Microsoft Windows, Outlook, Excel, Word as well as other MIS ...

Monitor program performance and use data to evaluate impact, identify gaps, and drive continuous ... Demonstrated computer skills in Microsoft Windows, Outlook, Excel, Word as well as other MIS ...

Monitor program performance and use data to evaluate impact, identify gaps, and drive continuous ... Demonstrated computer skills in Microsoft Windows, Outlook, Excel, Word as well as other MIS ...

Senior Salesforce Technical Architect

Springfield, IL ยท Remote

$68.50 - $84.75/hr

Work directly with clients, solution architects, developers and functional consultants to define ... Preference for candidates with experience with Data Cloud and Agentforce * Experience developing ...

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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 Jun 26, 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.

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 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, and why are they important?

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.
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 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 June 2026, with employment types broken down into 82% Full Time, 13% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,563 per year, or $61.8 per hour.

Medicaid Business/QA Analyst

MSR Technology Group

Springfield, IL โ€ข Remote

Contractor

Posted 15 days ago


Job description

Medicaid Business / QA Analyst
  • 7โ€“12+ Month Contract | Remote | No ThirdParty Firms | Medicaid SME Required
  • Candidates with previous State Medicaid program experience will be given strong consideration.
  • Drug screen and background check required as part of onboarding
Position Summary
The Medicaid Business/QA Analyst serves as a subject matter expert (SME) for Medicaid data and processes while performing quality assurance testing within a large-scale Enterprise Data Warehouse (EDW) environment. This position combines program knowledgeโ€”eligibility, claims, encounters, provider enrollment, managed care, and reportingโ€”with QA discipline to ensure accuracy, completeness, and usability of EDW deliverables such as data marts, inbound source data loads, outbound extracts, reporting outputs, and operational dashboards.
Key Responsibilities1. Business SME โ€“ Medicaid Data & Processes
  • Interpret Medicaid data elements, business rules, and program logic for EDW initiatives.
  • Review inbound data from core systems (eligibility, provider, claims, managed care) for accuracy and mapping alignment.
  • Validate outbound extracts and reporting outputs for accuracy, timeliness, and format requirements.
  • Support development of data marts across eligibility, claims/utilization, provider, managed care, LTSS, and behavioral health.
2. QA Planning & Execution
  • Develop QA plans, scenarios, and test cases aligned to business rules.
  • Perform data reconciliation between source files and EDW target tables.
  • Validate transformations, aggregations, and derived fields.
  • Participate in User Acceptance Testing (UAT) with business stakeholders.
3. Data Quality & Issue Resolution
  • Identify data anomalies, mapping issues, and business rule gaps; work with data engineering and ETL teams to resolve.
  • Ensure referential integrity across eligibility, claims, provider, and plan datasets.
  • Define business data quality rules for ongoing monitoring.
  • Track and document issues in defect management tools.
4. Collaboration & Documentation
  • Work with business stakeholders, vendors, and technical teams to validate requirements and deliverables.
  • Review BRDs, mapping documentation, and data models for accuracy.
  • Maintain QA evidence, testing documentation, and business rule records.
  • Support knowledge transfer related to Medicaid data usage within the EDW.
Required Skills & Qualifications
  • Strong Medicaid business knowledge (eligibility, claims, encounters, provider, managed care).
  • Experience working with EDW environments, including inbound feeds, staging layers, integration layers, data marts, and outbound extracts.
  • Proficiency with SQL for validation and reconciliation.
  • Experience in data warehouse QA/testing, including validating data transformations and dimensional models.
  • Ability to translate Medicaid program rules into testable acceptance criteria.
  • Familiarity with HIPAA compliance and PHI guidelines.
  • Excellent analytical, documentation, and communication skills.
Preferred Qualifications
  • Experience with Medicaid EDW or MMIS modernization projects.
  • Familiarity with provider handbooks, policy documentation, or administrative rules.
  • Experience with managed care data (capitation, encounters, member assignments).
  • Experience validating dashboards or reports in tools such as Tableau, Power BI, or Cognos.
  • Background in data governance or metadata management.