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Remote Data Engineering Jobs in Wisconsin (NOW HIRING)

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 ...

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 ...

Kohl's

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 ...

Lands' End

Data Warehouse Engineer (Remote)

Dodgeville, WI · Remote

$118.30K - $142.10K/yr

Skills * 3+ years of professional experience in data engineering or data warehousing. * Strong proficiency in SQL and experience in developing complex queries. * Proficiency in Python (PySpark ...

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 ...

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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:
Remote Data Engineering jobs near you
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.
Futuremindz llc: Data Engineer (Part-Time, Remote)

Futuremindz llc: Data Engineer (Part-Time, Remote)

CloudDevs

Wausau, WI • Remote

$122.70K - $147.40K/yr

Part-time

Posted 27 days ago

Job description

LocationAnywhere, LatamsHeadquarters: TexasJob Title: Data Engineer (Part-Time, Remote) Experience: 10-12 years Work Type: Part-Time (Remote) Employment Type: W2 only (No OPT / CPT) Note: H-1B candidates are Also welcome to apply About the Role We're looking for a senior Data Engineer with strong hands-on skills in building, optimizing, and maintaining data pipelines and platforms. This is a part-time remote role suited for experienced professionals who prefer flexible hours. Key Responsibilities • Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.

• Build and optimize data lakes, warehouses, and streaming pipelines. • Work closely with data scientists, analysts, and product teams to ensure reliable data access. • Maintain data quality, lineage, and governance standards.

• Monitor and improve pipeline performance and scalability. • Collaborate on cloud-based data architecture and best practices. Required Skills • 10-12 years of experience in data engineering or related roles.

• Strong coding skills in Python, SQL, and at least one ETL framework (Airflow, dbt, etc.). • Hands-on experience with cloud data platforms (AWS Glue, Redshift, GCP BigQuery, Azure Synapse, etc.). • Solid understanding of data warehousing, partitioning, schema design, and optimization.

• Familiarity with streaming technologies like Kafka or Spark Streaming. • Strong problem-solving, debugging, and communication skills. Please reach out to Sudheer Kumar.V Email: Phone: +1 #J-18808-Ljbffr

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