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Remote Data Engineer Jobs in Wisconsin (NOW HIRING)

Sr Data Engineer - Remote

La Crosse, WI · Remote

$112K - $135K/yr

As a Sr Data Engineer on the Optum Serve team, you will be accountable for the entire data ... This is an exciting remote opportunity to drive technical transformations, adopt modern cloud ...

New

Data Engineer (MedInsight)

Appleton, WI · On-site +1

$93K - $177K/yr

We are seeking a skilled and driven Data Engineer to design, build, and optimize scalable data ... Location This role can be remote within the U.S. The expected application deadline for this job is ...

Data Engineer (MedInsight)

Brookfield, WI · On-site +1

$93K - $177K/yr

We are seeking a skilled and driven Data Engineer to design, build, and optimize scalable data ... Location This role can be remote within the U.S. The expected application deadline for this job is ...

Senior Data Engineer (Remote)

Menomonee Falls, WI · Remote

$123K - $162K/yr

Participate in the entire application lifecycle in collaboration with designers, product managers, and other engineers on the product team * Leverage critical thinking, experimentation, data, and ...

Remote bevorzugt, gelegentliche Vor-Ort-Termine nach Absprache 400 - 450 a day Aufgaben Aufbau und ... Betrieb von End-to-End Data-Science- und ML-Workflows Implementierung von ML ...

Staff Data Architect (Remote)

Menomonee Falls, WI · On-site +1

$64 - $82.25/hr

Influence and guide source data design by partnering with product and engineering teams to ensure data quality, ownership, and governance are embedded at the point of origination, before data ...

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Remote Data Engineer information

See Wisconsin salary details

$44.9K

$130.9K

$179.2K

How much do remote data engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for remote data engineer in Wisconsin is $130,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,600.00 and $138,800.00 per year, depending on experience, location, and employer.

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.

Can a data engineer work remotely?

Yes, data engineers can work remotely, especially as many companies adopt flexible work arrangements. Remote data engineering roles often require strong skills in cloud platforms, data pipelines, and collaboration tools, and may involve regular virtual communication with teams. The feasibility depends on the company's policies and the specific job requirements.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight and expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on complex problem-solving and system architecture. Skills in programming, cloud platforms, and data management remain essential for the role.

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.

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 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 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.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

How to make $1000 a week remote?

A remote data engineer can earn $1000 or more per week by working full-time for a company, freelancing on project-based platforms, or offering specialized skills such as data pipeline development, cloud computing, or machine learning. Building a strong portfolio, gaining relevant certifications, and mastering tools like SQL, Python, and cloud services can increase earning potential.
What are the most commonly searched types of Data Engineer jobs in Wisconsin? The most popular types of Data Engineer jobs in Wisconsin are:
What are popular job titles related to Remote Data Engineer jobs in Wisconsin? For Remote Data Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Wisconsin look for? The top searched job categories for Remote Data Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Remote Data Engineer jobs? Cities in Wisconsin with the most Remote Data Engineer job openings:
Sr Data Engineer - Remote

Sr Data Engineer - Remote

UnitedHealth Group

La Crosse, WI • Remote

$112K - $135K/yr

Full-time

Retirement

Posted yesterday


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 141 frontline employees who took The Breakroom Quiz

187th of 872 rated healthcare providers


Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

As a Sr Data Engineer on the Optum Serve team, you will be accountable for the entire data engineering lifecycle-including research, proof of concepts, architecture, design, development, testing, deployment, and maintenance. You will design, develop, and implement cross-domain, scalable, and secure data solutions that support critical health services for our federal, military, and state partners. This is an exciting remote opportunity to drive technical transformations, adopt modern cloud infrastructures, and deliver high-performance data systems that improve health service outcomes.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.     

Primary Responsibilities:

  • Take accountability for the entire data engineering lifecycle, including research, proof of concepts, architecture, design, development, testing, deployment, and maintenance
  • Design, develop, implement, and run cross-domain, modular, flexible, scalable, secure, reliable, and high-quality data solutions that transform data for meaningful analyses and analytics while ensuring operability
  • Design, develop, implement, and run data solutions that improve data efficiency, reliability, and quality, ensuring they are performant by design
  • Layer in instrumentation in the development process so that data pipelines can be monitored, using measurements to detect internal problems before they result in user-visible outages or data quality issues
  • Build processes and diagnostic tools to troubleshoot, maintain, and optimize solutions, and rapidly respond to customer and production issues
  • Embrace continuous learning of engineering practices to ensure industry-best practices and technology adoption, including DevOps, Cloud, and Agile methodologies
  • Drive technical debt reduction and technical transformations, including open source adoption, cloud adoption, and HCP assessment and adoption
  • Contribute to enterprise inner-source and industry communities, striving to reuse and share components wherever possible across the organization
  • Maintain high-quality documentation of data definitions, transformations, and processes to ensure robust data governance and security

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • 8 years of overall experience in software engineering and data engineering roles, with significant experience designing and delivering large-scale data platforms in enterprise environments
  • 5 years of experience with SQL Server, Oracle, or PostgreSQL database administration
  • 3 years of experience with database performance tuning and/or pipelines
  • 3 years of experience with database and/or enterprise monitoring software
  • 1 years of experience with Public Cloud Engineering (Azure preferred)
  • Solid hands-on experience with cloud-based data platforms (Azure and/or GCP), including data storage, processing, orchestration, and monitoring services
  • United States Citizenship

  • If you are offered this position, you will be required to provide extensive personal information to obtain and maintain a suitability or determination of eligibility for a Confidential/Secret or Top Secret security clearance as a condition of your employment

Preferred Qualifications:

  • Bachelor's degree in Computer Science, Engineering, Data Engineering, or a related technical field, OR equivalent practical experience
  • Experience working within the healthcare industry or supporting government/military health programs (Optum Serve)
  • Experience contributing to internal or external open-source engineering communities
  • Excellent technical writing skills with experience documenting complex data definitions and governance standards
  • Proven track record of successful cloud migration (specifically to Azure or GCP)
  • Familiarity with DevOps principles, CI/CD pipelines, and Agile development thinking

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy 

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 - $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. 

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.


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