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Remote Data Engineering Jobs in Milwaukee, WI (NOW HIRING)

KOHLS

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 ...

Innio

Intern - Engineering

Waukesha, WI · On-site +1

$16.75 - $21.75/hr

Engineering assignments take on the world's toughest challenges - clean power and affordable energy ... remote data monitoring, advanced and additive manufacturing, testing and validation, combustion ...

INNIO

Intern - Engineering

Waukesha, WI · On-site +1

$16.75 - $21.75/hr

Engineering assignments take on the world's toughest challenges - clean power and affordable energy ... remote data monitoring, advanced and additive manufacturing, testing and validation, combustion ...

Cielo

Senior Director - Client Data Solutions

Wauwatosa, WI · Remote

$103K - $139.90K/yr

Role: Remote - United States Work set up: Monday to Friday - FTE Skills: Are you Strong experience in Data engineering / Data platforms & integrations? Do you have the ability to Identify most ...

Cielo

Senior Director - Client Data Solutions

Wauwatosa, WI · On-site +1

$103K - $139.90K/yr

Role: Remote - United States Work set up: Monday to Friday - FTE Skills: Are you Strong experience in Data engineering / Data platforms & integrations? Do you have the ability to Identify most ...

DataCamp

Data Science Editor

Belgium, WI · On-site +1

Strong data engineering and/or cloud expertise. * Previous experience as a data scientist ... Work Flexibility - Benefit from flexible working hours and a remote-friendly culture.

DataCamp

Data Science Editor

Belgium, WI · On-site +1

Strong data engineering and/or cloud expertise. * Previous experience as a data scientist ... Work Flexibility - Benefit from flexible working hours and a remote-friendly culture.

DataCamp

Data Science Editor

Belgium, WI · On-site +1

Strong data engineering and/or cloud expertise. * Previous experience as a data scientist ... Work Flexibility - Benefit from flexible working hours and a remote-friendly culture.

KOHLS

Senior Data Engineer (Remote)

Menomonee Falls, WI · Remote

$123K - $162.10K/yr

Leverage critical thinking, experimentation, data, and industry best practices to implement desired ... Establish and lead product engineering and software standards * Ideate a new product from a user ...

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All JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Milwaukee, WI

Remote Data Engineering information

See Milwaukee, WI salary details

$43.8K

$127.8K

$174.9K

How much do remote data engineering jobs pay per year?

As of May 30, 2026, the average yearly pay for remote data engineering in Milwaukee, WI is $127,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,800.00 and $135,500.00 per year, depending on experience, location, and employer.

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 (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

How can I make $2000 a week working from home?

Remote data engineers can earn $2000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Achieving this income often requires advanced expertise, certifications, and experience with tools such as AWS or Azure, as well as the ability to handle multiple clients or projects simultaneously.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Milwaukee, WI? The most popular types of Data Engineering jobs in Milwaukee, WI are:
What are popular job titles related to Remote Data Engineering jobs in Milwaukee, WI? For Remote Data Engineering jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Milwaukee, WI look for? The top searched job categories for Remote Data Engineering jobs in Milwaukee, WI are:
Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Milwaukee, WI as of May 2026, with employment types broken down into 1% Internship, 2% As Needed, 80% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $127,802 per year, or $61.4 per hour.
Curriculum Manager - Data Science and AI

Curriculum Manager - Data Science and AI

DataCamp

Belgium, WI • On-site, Remote

Other

Medical, Dental, Vision

Posted 23 days ago

Job description

About DataCamp

Data and AI skills are critical for thriving today, and DataCamp is the platform that empowers everyone to learn them. We help individuals and Fortune 1000 companies close the data and AI skills gap through world-class learning, hands-on training, and a global community of expert instructors.

In this role, you'll collaborate with instructors and teams across curriculum, engineering, product, and marketing to expand and improve our Data Science and Data Engineering curriculum-helping millions worldwide upskill in data and AI.

About the role

This is an individual contributor role. You will collaborate with subject matter experts and leverage in-house-built cutting-edge AI tooling to scale high-quality course creation. Here's what your day-to-day will look like: 

  • Manage the entire content development lifecycle and deadlines.
  • Source and recruit top-tier subject-matter experts as instructors. 
  • Collaborate with instructors to create engaging content. 
  • Consistently leverage a variety of off-the-shelf and in-house AI systems to drive high-quality content production. 
  • Design, review, and create content on data science and data engineering. You will review content from a learner perspective, ensuring it is technically accurate and pedagogically effective.
  • Continuously assess course performance using learner feedback and engagement data to drive improvements.
  • Identify and prioritize existing curriculum gaps or new topics in data science and data engineering.

Qualifications:

  • A solid technical background in Python and SQL. A technical background in data engineering is a plus. 
  • Strong expertise in instructional design, with proven experience designing, structuring, and teaching technical courses, and creating interactive, hands-on learning experiences.
  • Graduate degree (Master's or PhD) in Computer Science, AI, Data Science, or a related STEM field, or equivalent industry experience with hands-on expertise in data science, machine learning, or software development.
  • Strong experience with agentic AI systems such as Claude Code, Cursor, Replit. You can demonstrate you've increased your output 10x with AI.

Bonus if you have the following

  • A deep understanding of the DataCamp course format-you have an intuitive understanding of what makes a great DataCamp course.
  • An existing network of potential subject matter experts who can become DataCamp instructors.
  • An extensive track record of building sophisticated AI systems and workflows.

Why Datacamp? 

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team:

  • Exciting Challenges - Tackle some of the most important educational challenges in Data & AI.
  • Work with the Best Instructors - Partner with top-tier instructors from leading organizations like Microsoft, Hugging Face, AWS, and more.
  • Competitive Compensation - We offer a competitive salary with attractive benefits.
  • Work Flexibility - Benefit from flexible working hours and a remote-friendly culture.
  • Professional Growth - Access to a yearly learning & development budget.
  • Global Culture - Join a team that values international collaboration.
  • Annual Retreats - Participate in international company retreats, fostering a global team spirit.
  • Tools & Setup - Receive an annual IT equipment budget to refresh your workspace.

Our competitive compensation package offers additional benefits. On top of your salary you will also receive extra legal benefits such as best-in-class medical insurance including dental and vision. Depending on your location additional benefits might be available to you.

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