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Remote Data Engineer Jobs in Wisconsin (NOW HIRING)

The Data Warehouse Engineer I is part of a team dedicated to supporting Network Health's Enterprise Data Warehouse. This individual will perform development, analysis, testing, debugging ...

Senior AI/ML Engineer

Watertown, WI · On-site +1

$99K - $136K/yr

Turn decades of data into intelligence that helps feed the world. VAS is the Operating System of ... We are seeking a Senior AI/ML Engineer to lead the building of scalable real-time production-grade ...

We are open to remote candidates. In this role, the Environmental Engineer is responsible for ... Strong analytical, problem-solving, and data interpretation skills * Project management skills with ...

We are open to remote candidates. In this role, the Environmental Engineer is responsible for ... Strong analytical, problem-solving, and data interpretation skills * Project management skills with ...

Showing results 41-60

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 Aug 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 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 Wisconsin?

The most popular types of Data Engineer jobs in Wisconsin 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:

Infographic showing various Remote Data Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 100% Remote job distribution, with an average salary of $130,930 per year, or $62.9 per hour.

Intern - Renewables Data Analytics

WEC Energy Group

Milwaukee, WI • On-site, Remote

$23.10/hr

Full-time, Part-time, Internship

Posted 2 days ago

New


WEC Energy Group rating

8.4

Company rating: 8.4 out of 10

Based on 20 frontline employees who took The Breakroom Quiz


Job description

We Energies and Wisconsin Public Service, subsidiaries of WEC Energy Group, is seeking a Renewables Data Analytics intern starting May/June 2027. This position can be located in Green Bay, Wisconsin or  Milwaukee, Wisconsin locations.This position offers flexibility for a hybrid work arrangement (remote/in-office). The starting hourly rate for this position is $23.10 with paid company holidays. This internship is full-time during the Summer of 2027 with potential to work part-time during the fall.

About Us

WEC Energy Group is one of the nation's largest electric generation and distribution and natural gas delivery holding companies serving 4.7 million customers across the Midwest. We are committed to providing clean, reliable, and affordable energy in an environmentally sustainable manner. Customers are the heart of our business, and we work every day to help grow and support communities where we provide vital energy services.

As a Fortune 500 company, we value and develop our employees who are making a difference in a mission that matters. We don't just offer a job; we provide fulfilling careers where safety and well-being are paramount. Join our team and experience first-hand our commitment to your success. We offer competitive pay and benefits to recognize your hard work and dedication.

If you're talented, energetic and ready for a career with a future, we want you on our team. We are powered by a diverse and inclusive workforce fueled by the pride in what we do. If you're driven by the passion to change lives, this is the place for you.

Job Summary

The Renewables Analytics team is focused on enabling data-based decision making through clear metrics, monitoring, and robust data analytics for a large operating fleet of renewable energy projects. As an intern you will be involved in day-to-day support, business requirement gathering, data preparation, data analysis, data visualization and other activities including attending and participating in various meetings as part of the team.

Job Responsibilities

   Develop architecture & maintain databases of critical equipment meta data
   Manage data flows and data pipelines that feed real-time predictive models and other data tools
   Work closely with Renewables team, business & data analysts, and IT support groups to solve data access, architecture, and process needs
   Use available data to review the performance and reliability of wind / solar / battery storage assets
   Collaborate with Renewables team to design and deploy analytics and KPI reporting at a fleet level
   Perform ad hoc investigations of emergent equipment issues
   Manage the ETL process for transforming operational SCADA data into aggregated data repositories
   Empower subject matter experts with self-service access to raw and aggregated data
   Alternate between remote and office work as needed (hybrid setting) 
   Travel to generation sites in remote locations in WI, MI, MN, IA, IL, or IN

Minimum Qualifications

   High School Diploma, GED, or HSED 
   Current pursuit of a Bachelor's degree or higher in Data Science, Data Analytics, Computer Science, Engineering or related degree with a graduation date after June 2027
   Minimum GPA of 2.8 
   Valid Driver's License

Preferred Qualifications

   Experience writing code, programs, and/or algorithms 
   Experience with data mining, analysis, engineering, and/or visualization
   SQL (T-SQL, MySQL, Athena), VBA, API, Python/R, and Power BI
   DevOps and GitHub experience 
   Renewable energy technology, especially wind, solar, and energy storage experience
   Strong initiative, collaborative, prioritization, critical thinking skills and time management skills

End Date: 11/15/2026 

Pay Range Minimum:  $23.10

Pay Range Maximum:  $27.55

The pay range reflects the minimum and maximum for the position at the time of posting and may be modified in the future. The starting salary/pay within the pay range will be based on several factors, as applicable, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, shift, travel requirements, collective bargaining agreements, and business and organizational needs.  At WEC Energy Group, it is not typical for an individual to be hired at or near the top of the range for their role.

WEC Energy Group benefits

We reserve the right to modify the application deadline or discontinue accepting applications for any position if deemed necessary. Applications will be reviewed on a rolling basis, with interviews commencing after submission for qualified candidates. 
Learn more at Careers

WEC Energy Group will only employ those who are legally authorized to work in the United States. Individuals with temporary visas such as E, F-1 with OPT or CPT, H-1, H-2, L-1, B, J or TN, or who need sponsorship for work authorization now or in the future, are not eligible for hire.

WEC Energy Group and its subsidiaries are Equal Opportunity Employers. As a result, all qualified applicants will receive equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other protected status. The Company also complies with all applicable federal, state and local laws that require it to take affirmative action.
 

EEO/AA policies and statements


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