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Remote Senior Data Engineer Jobs in Milwaukee, WI

This is a hybrid/remote role that is flexible on location so long as there is flexibility to travel ... Build and maintain data pipelines, model integration layers, and inference infrastructure for real ...

Senior DevSecOps Engineer

WI · On-site +1

$128K - $164K/yr

The Senior DevSecOps Engineer will join our Platform Engineering team to design, build, and ... Exposure to Snowflake and enterprise data platforms. * Experience with enterprise networking and ...

The Data Analyst will assist senior team members while also creating output to help system leaders ... Experience with at least one statistical programming language (e.g., R, Python, SAS, Stata, etc.

Senior Electrical Engineer

Waukesha, WI · On-site +1

$75 - $90/hr

Electrical Engineer - High-Speed Embedded Hardware Design We are seeking a highly skilled ... Work Environment This position can be 100% remote, providing flexibility in work location. The role ...

US Remote Dallas and Scottsdale preferred Overview: The Senior Director, Finance IT is a senior ... Drive continuous improvement in system stability, data quality, and user experience across all ...

New

Showing results 41-60

Remote Senior Data Engineer information

See Milwaukee, WI salary details

$79.8K

$124.5K

$172.4K

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

As of Aug 15, 2026, the average yearly pay for remote senior data engineer in Milwaukee, WI is $124,464.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,400.00 and $141,900.00 per year, depending on experience, location, and employer.

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 is a remote senior data engineer?

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?

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 the most commonly searched types of Senior Data Engineer jobs in Milwaukee, WI?

The most popular types of Senior Data Engineer jobs in Milwaukee, WI are:

What are popular job titles related to Remote Senior Data Engineer jobs in Milwaukee, WI?

For Remote Senior Data Engineer jobs in Milwaukee, WI, the most frequently searched job titles are:

What job categories do people searching Remote Senior Data Engineer jobs in Milwaukee, WI look for?

The top searched job categories for Remote Senior Data Engineer jobs in Milwaukee, WI are:

What cities near Milwaukee, WI are hiring for Remote Senior Data Engineer jobs?

Cities near Milwaukee, WI with the most Remote Senior Data Engineer job openings:

Infographic showing various Remote Senior Data Engineer job openings in Milwaukee, WI as of June 2026, with employment types broken down into 2% As Needed, 60% Full Time, 30% Part Time, and 8% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $124,464 per year, or $59.8 per hour.

Integration Developer - Integrations, Data & AI Solutions

boelter

Pewaukee, WI • On-site, Remote

$49.25 - $65.25/hr

Full-time

Re-posted 4 days ago


Job description

Integration Developer – Integrations, Data & AI Solutions

Location: Pewaukee, WI / Hybrid or Remote Considered

Belong to the Boelter community that brings people together...

We value the individual where your unique perspective builds a stronger community and fuels our passion for authentic relationships.

Boelter is looking for an Intermediate Developer who is ready to help shape the next generation of business technology. This role is ideal for a creative, curious, and self-driven developer who enjoys solving practical business problems, integrating enterprise systems, and exploring how AI can make work faster, smarter, and more scalable.

As part of a strong and collaborative IT team, this person will work across key platforms including SAP, Microsoft Fabric, Cleo Integration Cloud for EDI, data warehouse solutions, and emerging AI-enabled tools. The work will focus on building reliable integrations, improving business processes, strengthening data flow across systems, and creating efficiency solutions that help Boelter associates serve customers better.

Why This Role Is Exciting
  • Be part of Boelter’s growing AI journey, where new ideas are being tested, piloted, and scaled into real business solutions.
  • Work with enterprise platforms that matter, including SAP, Microsoft Fabric, Cleo, EDI, data warehouse tools, and modern integration patterns.
  • Use AI not only as a personal productivity enhancer, but as a way to improve applications, automate manual work, and create better user experiences.
  • Join a team that values experimentation, practical problem solving, knowledge sharing, and continuous improvement.
  • Make a visible impact by helping simplify processes, improve data quality, reduce manual effort, and enable smarter decisions across the business.
What You’ll Do
  • Design, build, test, and support integrations between core business systems such as SAP, Microsoft Fabric, Cleo, EDI partners, data warehouse environments, and internal business applications.
  • Develop solutions that improve process efficiency, reduce manual work, and support cleaner, more reliable data movement across the enterprise.
  • Partner with business users, analysts, and other IT team members to understand needs, clarify requirements, and deliver practical technology solutions.
  • Support EDI and integration workflows, including troubleshooting data movement, monitoring failures, improving exception handling, and strengthening reliability.
  • Use AI tools thoughtfully to accelerate development, improve documentation, support testing, analyze business processes, and identify automation opportunities.
  • Contribute to AI-enabled solution design, including agents, assistants, automation flows, data-driven recommendations, and productivity-enhancing tools.
  • Create and maintain technical documentation, integration notes, support guides, and knowledge-sharing materials for the broader team.
  • Continuously learn new tools and approaches, bringing forward ideas that can improve how Boelter works and serves customers.
What We’re Looking For
  • 3–5+ years of professional software development, integration, data engineering, or business systems development experience.
  • Hands-on experience integrating enterprise systems, APIs, databases, middleware, EDI platforms, or business applications.
  • Familiarity with SAP or similar ERP environments, including data flows, business processes, interfaces, or reporting needs.
  • Experience with Microsoft Fabric, Power BI, data warehouse concepts, SQL, ETL/ELT patterns, or modern analytics platforms.
  • Experience with Cleo Integration Cloud, EDI, or similar integration tools is a plus.
  • Practical understanding of automation, workflow improvement, and process efficiency solutions.
  • Strong curiosity about AI tools and a demonstrated willingness to use them responsibly to improve personal productivity, development quality, documentation, testing, and solution design.
  • Creative problem solver who is comfortable asking questions, learning new systems, and turning business needs into reliable technical solutions.
  • Self-driven and accountable, with the ability to manage work independently while actively contributing to a collaborative team environment.
  • Strong communication skills, including the ability to explain technical concepts clearly to business partners and teammates.
How You’ll Work

This role is designed for someone who thrives in a team-oriented environment but does not wait to be told what to do. You will have the opportunity to take ownership, explore new technologies, recommend better approaches, and help turn ideas into working solutions. We are looking for someone who brings energy, curiosity, and craftsmanship to the work—and who sees AI as both a tool for getting better individually and a platform for creating smarter business solutions.

Our Values

At Boelter, how we work matters as much as what we deliver. We look for team members who bring our values to life through their actions, decisions, and relationships.

  • Do What’s Right: Build solutions with integrity, reliability, security, and long-term business value in mind.
  • Own It: Take accountability for your work, follow through on commitments, and continuously look for ways to improve.
  • Make It Easy: Simplify processes, reduce friction, and create technology solutions that are practical and easy for associates and customers to use.
  • Win Together: Collaborate across IT and the business, share knowledge, and help others succeed.
  • Be Curious: Ask thoughtful questions, learn continuously, experiment with new tools, and explore how AI can unlock better ways of working.
Why Boelter

Boelter is investing in modern technology, better data, stronger integrations, and practical AI-enabled solutions that help our teams work smarter and serve customers better. This is a chance to join a company where technology is not just a support function it is a driver of innovation, efficiency, and competitive advantage.

For a developer who wants to grow, learn, and contribute to meaningful transformation, this role offers the opportunity to work with enterprise platforms, influence how AI is applied in real business scenarios, and be part of a team that is building the future of work at Boelter.

Ideal Candidate Summary

The ideal candidate is an intermediate developer who combines technical capability with curiosity, initiative, and a strong desire to solve business problems. They are comfortable working with integration, data, EDI, and automation; excited by the potential of AI; and motivated by the opportunity to help create practical solutions that improve how people work every day.