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Remote Data Engineer Jobs in Wisconsin (NOW HIRING)

Kyyba

Data Engineer

Menasha, WI · On-site +1

$117.10K - $140.70K/yr

Job Title: (Data Engineer) About Kyyba: Founded in 1998 and headquartered in Farmington Hills, MI ... Remote Fulltime or part time: Part time (estimated 16-24 hours per week) Start date: 05/04/26 End ...

DataAnnotation

Data Engineer - AI Trainer

Oregon, WI · On-site +1

$60/hr

We are looking for proficient programmers to help advance AI development. As a member of ... Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ...

KOHLS

Senior Data Engineer (Remote)

Menomonee Falls, WI · Remote

$123K - $162.10K/yr

Participate in the entire application lifecycle in collaboration with designers, product managers, and other engineers on the product team * Leverage critical thinking, experimentation, data, and ...

Kohl's

Senior Data Engineer (Remote)

Menomonee Falls, WI · Remote

$123K - $162.10K/yr

Senior Big Data Software Engineer As Senior Software Engineer, you will collaborate closely with design, product and engineering experts to tackle real-world challenges and deliver innovative ...

Zendesk

Senior Data Engineer

Madison, WI · On-site +1

$106.80K - $145.10K/yr

Our Enterprise Data & Analytics (EDA) is looking for an experienced Senior Data Engineer to join our growing data engineering team. You'll work in a collaborative Agile environment using the latest ...

Zendesk

Senior Data Engineer

Madison, WI · On-site +1

$106.80K - $145.10K/yr

Our Enterprise Data & Analytics (EDA) is looking for an experienced Senior Data Engineer to join our growing data engineering team. You'll work in a collaborative Agile environment using the latest ...

Lands' End

Data Warehouse Engineer (Remote)

Dodgeville, WI · Remote

$118.30K - $142.10K/yr

As a Data Warehouse Engineer, you are responsible for developing integrations using enterprise Extract, Transform, and Load (ETL) tools to meet business requirements. You have an advanced ...

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$44.9K

$130.9K

$179.2K

How much do remote data engineer jobs pay per year?

As of May 28, 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 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 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 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.

More about Remote Data Engineer jobs
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 are popular job titles related to Remote Data Engineer jobs in Wisconsin? For Remote Data Engineer jobs in Wisconsin, the most frequently searched job titles 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:
Remote Data Engineer jobs near you
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

This job post has expired today. Applications are no longer accepted.

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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