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Remote Data Engineering Jobs in Wisconsin (NOW HIRING)

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.

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.

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.

Der Fokus liegt auf Big-Data-Engineering , ML/LLM-Workloads , MLOps-Automatisierung sowie der ... Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote Projektsprache: Deutsch und Englisch Aufgaben: ...

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 ...

The practice helps clients modernize technology and data platforms and apply engineering to mission ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Partners with data scientists and engineers on multidisciplinary projects. Position Requirements: This position is Remote. Bachelor's degree or commensurate experience is Required. 5+ years of data ...

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Remote Data Engineering information

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 Wisconsin? The most popular types of Data Engineering jobs in Wisconsin are:
What are popular job titles related to Remote Data Engineering jobs in Wisconsin? For Remote Data Engineering jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Wisconsin look for? The top searched job categories for Remote Data Engineering jobs in Wisconsin are:
What cities in Wisconsin are hiring for Remote Data Engineering jobs? Cities in Wisconsin with the most Remote Data Engineering job openings:
Infographic showing various Remote Data Engineering job openings in Wisconsin as of May 2026, with employment types broken down into 1% Internship, 2% As Needed, 81% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Data Science Editor

Data Science Editor

DataCamp

Belgium, WI • On-site, Remote

Other

Medical, Dental, Vision

Posted 22 days ago


Job description

About DataCamp

DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.

About the role:

DataCamp is looking for a Data Science Editor! As part of the editorial team, you are a seasoned editor or creator within the data and AI space with proven experience in creating, editing, and delivering written or video-based technical data and AI tutorials. You'll be responsible for working with a network of freelance creators to scale DataCamp's blog and YouTube channels.

You will collaborate closely with a team of editors, marketers, data evangelists, product marketing managers, SEO experts, and the broader commercial marketing team to drive organic traffic via our blog and tutorial pages. Through these efforts, you will help amplify and share free and valuable educational content for DataCamp's audience of learners and data practitioners.

We're excited about you because you have the following:

  • You have a strong understanding of data science, AI, cloud, or/and data engineering and can write on technical subjects in the data space yourself. You can provide multiple relevant examples of your writing and/or editing work.
  • Detailed knowledge of at least one programming language (Python, R, SQL, etc.) or Business Intelligence tool (Tableau, Power BI, etc.) 
  • You score yourself in the top 5% regarding attention to detail. Typos and incorrect grammar are your worst enemies. 
  • You can effectively use AI tools for content creation and workflow automation - without sacrificing truthfulness and quality.

If that sounds like you, we'd love to meet you.

We're even more excited about you if you have the following:

  • Strong data engineering and/or cloud expertise.
  • Previous experience as a data scientist, developer, or technical expert.
  • Demonstrable experience delivering meaningful organic growth via editorial content.
  • Knowledge of SEO best practices and how they are evolving.

Responsibilities:

This is an individual contributor role-you will be expected to recruit, lead, and grow our stable of expert freelancers, manage contracts and payments, assign them technical content, edit their work, and more. Here is what your day-to-day will look like:

  • Deliver high-quality written and video-based tutorials on data science, AI, analytics, business intelligence, data engineering, cloud, and more.
  • Write content briefs that guide freelancers to create content that provides value for DataCamp's community of learners. 
  • Recruit and manage freelance creators & experts from the data science, AI, analytics, business intelligence, data engineering, and cloud communities.
  • Edit the work of freelancers and ensure that content is ready to be published in a timely manner.
  • Combine SEO keyword analysis with a deep understanding of the data and AI space to iterate and improve the content we create.
  • Your targets for 2026 are maintaining a robust editorial calendar, delivering 25 new articles and 4 new videos per month, while ensuring freelancers adhere to quality standards and deadlines.

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.
  • 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 and retreats.
  • 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.

At DataCamp, we value diverse experiences and perspectives. If you're excited about this role but don't meet every qualification, we still encourage you to apply. We believe skills can be developed and are committed to fostering an inclusive workplace where everyone can thrive. Your unique talents and perspectives are what make our team great!