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Remote Senior Data Engineer Jobs in Wisconsin (NOW HIRING)

The Senior Data Modeler leads collaboration with data architects, data engineers, and business stakeholders to translate complex business rules and analytical requirements into robust conceptual ...

$211K - $246K/yr

Qualifications * 6+ years of professional experience in data engineering and analytics including 2+ years experience leading teams of Sr. Data/Analytics Engineers. * Data leadership experience:

$121K - $160K/yr

MEDHOST, a division of Harris, is seeking a Senior Software Engineer, IBM i / RPG, to design ... Troubleshoot and resolve high-complexity application, data, batch, integration, and performance ...

$107K - $142K/yr

MEDHOST, a division of Harris, is seeking a Senior Software Engineer, IBM i / RPG, to design ... Troubleshoot and resolve high-complexity application, data, batch, integration, and performance ...

$121K - $160K/yr

MEDHOST, a division of Harris, is seeking a Senior Software Engineer, IBM i / RPG, to design ... Troubleshoot and resolve high-complexity application, data, batch, integration, and performance ...

$107K - $142K/yr

MEDHOST, a division of Harris, is seeking a Senior Software Engineer, IBM i / RPG, to design ... Troubleshoot and resolve high-complexity application, data, batch, integration, and performance ...

Senior Director - Client Data Solutions

Wauwatosa, WI · On-site +1

$103K - $139K/yr

... systems), data engineering, and client-facing reporting solutions. This role ensures seamless ... Remote - United States Work set up: Monday to Friday - FTE Skills: Are you Strong experience in ...

Senior Director - Client Data Solutions

Wauwatosa, WI · Remote

$103K - $139K/yr

... systems), data engineering, and client-facing reporting solutions. This role ensures seamless ... Remote - United States Work set up: Monday to Friday - FTE Skills: Are you Strong experience in ...

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Showing results 1-20

Remote Senior Data Engineer information

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

AspectRemote Senior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields, certifications
Work EnvironmentData pipelines, ETL processes, cloud platformsData analysis, modeling, visualization tools
Industry UsageTech, finance, healthcare, e-commerceTech, marketing, research, finance

Remote Senior Data Engineers focus on building and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles often collaborate but serve different functions within data teams. Understanding these differences helps in choosing the right career path or job search focus.

What are Remote Senior Data Engineers?

Remote Senior Data Engineers are experienced professionals who design, build, and maintain complex data systems and pipelines, but work from a location outside of the company's main office. They are responsible for ensuring reliable data flow, optimizing data storage, and supporting analytics, often collaborating with teams across different time zones. Their role typically involves advanced programming, data architecture, and the implementation of best practices in data engineering, all while working remotely. This position demands strong technical skills, excellent communication, and the ability to work independently.

How does a Remote Senior Data Engineer typically collaborate with distributed teams to ensure data pipeline reliability?

As a Remote Senior Data Engineer, collaboration with cross-functional, distributed teams is usually facilitated through agile project management tools, regular video meetings, and shared documentation platforms. You’ll often work closely with data scientists, analysts, and DevOps engineers to design, build, and maintain scalable data pipelines. Clear communication and proactive status updates are essential to ensure everyone stays aligned and issues are addressed quickly. Leveraging version control systems and automated testing also helps maintain the reliability and quality of the data infrastructure across different time zones.

What are the key skills and qualifications needed to thrive as a Remote Senior Data Engineer, and why are they important?

To thrive as a Remote Senior Data Engineer, you need advanced expertise in data engineering concepts, SQL, and programming languages like Python or Scala, along with a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data frameworks (like Spark or Hadoop), and relevant certifications are typically required. Excellent problem-solving, communication, and self-management skills are crucial for collaborating remotely and driving projects independently. These competencies ensure robust data pipelines, effective teamwork, and successful delivery of scalable data solutions in distributed environments.
What are popular job titles related to Remote Senior Data Engineer jobs in Wisconsin? For Remote Senior Data Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Remote Senior Data Engineer jobs in Wisconsin look for? The top searched job categories for Remote Senior Data Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Remote Senior Data Engineer jobs? Cities in Wisconsin with the most Remote Senior Data Engineer job openings:
Infographic showing various Remote Senior Data Engineer job openings in Wisconsin as of June 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 100% Remote job distribution.
Senior Data Modeler

Senior Data Modeler

Sanford Health

Marshfield, WI • Remote

$40/hr

Full-time

Posted 6 days ago


Sanford Health rating

6.8

Company rating: 6.8 out of 10

Based on 529 frontline employees who took The Breakroom Quiz

483rd of 877 rated healthcare providers


Job description

Sanford Health, the largest rural health system in the United States, is dedicated to transforming the health care experience and providing access to world-class health care in America's heartland.

Work Shift:

8 Hours - Day Shifts (United States of America)

Scheduled Weekly Hours:

40

Compensation:

Salary Range: $40.00 - $66.00 Pay starts at $40 and increases according to years of applicable experience.

Union Position:

No

Department Details

Summary

The Senior Data Modeler is responsible for architecting, governing, and advancing the enterprise data modeling framework to ensure data structures support organizational strategy, scalability, and analytic maturity. Provides expert-level leadership across conceptual, logical, and physical modeling and ensures data assets are accurate, consistent, reusable, and aligned with enterprise architecture standards. Champions data modeling best practices, improves enterprise data quality, and shapes the long-term direction of data architecture.

Job Description

The Senior Data Modeler leads collaboration with data architects, data engineers, and business stakeholders to translate complex business rules and analytical requirements into robust conceptual, logical, and physical data models. Designs and governs high-quality data structures using advanced normalization, dimensional modeling, star schema design, and domain-driven design. Produces and maintains detailed Entity-Relationship Diagrams (ERDs) to ensure clarity, consistency, and alignment across data ecosystems.Provides authoritative oversight and approval for enterprise-wide data models, ensuring compliance with architectural standards, data governance policies, and Technology Solutions (TS) and Architecture COE principles. Will establish, refine, and enforce modeling standards, patterns, and best practices used across the organization to include comprehensive data dictionaries, metadata and data flow documentation. Ensures data models adhere to healthcare security and regulatory requirements (e.g. HIPAA, GDPR, etc.). Design schemas for data lakes and data warehouses (star, snowflake, normalized, denormalized).Leads cross-functional technical discussions, serving as a mediator and subject matter expert to ensure data modeling needs are accurately understood and implemented. Contributes to the evolution of healthcare-based enterprise data models, ensuring interoperability, scalability, and alignment with organizational goals. Will collaborate closely with principal data architects to influence data architecture decisions and strategic direction.Strengthens data modeling discipline across applications and business areas, ensuring high-quality data capture and data pipeline alignment. Must anticipate and identify opportunities for optimization, modernization, and innovation in data modeling and propose enhancements to align with industry advancements. Partners with data engineers, data architects and data analysts to resolve integration challenges.Will mentor and develop data modelers, engineers, and analysts, promoting modeling excellence and knowledge sharing across teams. Responsible for designing, building, and optimizing data models for platforms such as Snowflake, Redshift, and similar cloud-based database systems, ensuring performance, scalability, and architectural integrity.

Qualifications

Bachelor's degree required in computer science, management information systems, or related field.
Minimum of five years of experience in data modeling, database design and development, systems or applications development, or related field. Must be proficient in data modeling tools such as Erwin, ER/Studio, PowerDesigner, or other similar tools. Proficiency with SQL, strong understanding of data pipeline and data warehousing principles and concepts is required.Strong communication and documentation skills, with the ability to explain complex concepts to both technical and non-technical stakeholders. Strong problem-solving skills and attention to detail.Experience in data modeling and design within the health insurance or health care industry is preferred. Experience with cloud data platforms (e.g., Azure, AWS, or Google Cloud) and healthcare analytics platforms (e.g., Epic Caboodle). Understanding of data lake and lakehouse architectures. Experience with data governance, data quality, and MDM principles. Familiarity with BI/analytics tools and data science needs.

Sanford is an EEO/AA Employer M/F/Disability/Vet.


If you are an individual with a disability and would like to request an accommodation for help with your online application, please call 1-877-949-5678 or send an email to talent@sanfordhealth.org.


What Sanford Health employees say

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Benefits

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About Sanford Health

Sourced by ZipRecruiter

Sanford Health is one of the largest and fastest-growing not-for-profit health systems in the United States. We're proud to offer many development and advancement opportunities to our nearly 50,000 members of the Sanford Family who are dedicated to the work of health and healing across our broad footprint.

Industry

Health care and social assistance and hospitals

Company size

10,000+ Employees

Headquarters location

Sioux Falls, SD, US

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