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Remote Data Engineer Jobs in Pewaukee, WI (NOW HIRING)

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 ...

LRS

Alteryx Consultant

Milwaukee, WI · Remote

$50 - $70/hr

Overview We are seeking a Data Engineer with experience in Alteryx to support the setup of a new ... a remote environment and communicate effectively with stakeholders Additional Qualifications ...

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 ...

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 · 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 ...

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 ...

SmartIPlace

DevOps Engineer[remote]

Milwaukee, WI · Remote

$54 - $74/hr

... Engineer Workplace: Remote in the US Start Date: 5/4 Duration: 4 months Location: Milwaukee, WI ... Data Platform and Big Data: SQL Server, Azure SQL DB, HDInsight/Hadoop, Machine Learning, Cosmos DB

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Remote Data Engineer information

See Pewaukee, WI salary details

$43.5K

$126.9K

$173.7K

How much do remote data engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for remote data engineer in Pewaukee, WI is $126,934.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,000.00 and $134,600.00 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 cities near Pewaukee, WI are hiring for Remote Data Engineer jobs? Cities near Pewaukee, WI with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Senior Data Engineer (Remote)

Senior Data Engineer (Remote)

KOHLS

Menomonee Falls, WI • Remote

$123K - $162.10K/yr

Other

Posted 17 hours ago

Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,434 frontline employees who took The Breakroom Quiz

11th of 21 rated department stores

Job description

About the Role

As Senior Software Engineer, you will collaborate closely with design, product and engineering experts to tackle real-world challenges and deliver innovative solutions that elevate Kohl’s retail offerings. 

What You’ll Do

  • Lead the development of high-quality applications that are robust, observable and measurable using extreme programming (XP) practices and a user-centric approach

  • 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 industry best practices to implement desired business outcomes

  • Facilitate group discussions and team ceremonies and develop a shared context

  • Give and receive feedback that’s empathetic, actionable and specific

  • Practice emergent architecture with sane defaults and build software that is easy to use and easy to modify

  • Establish and lead product engineering and software standards

  • Ideate a new product from a user perspective, starting with one or more problem spaces and ending with a stack-ranked list of feasible solutions to test

  • Research and stay up to date on tech market trends and practices

  • Lead technical initiatives not only on the team but also across the department

  • Additional tasks may be assigned

Addendum

SENIOR BIG DATA SOFTWARE ENGINEER

  • Develop, automate, and maintain batch and streaming ETL pipelines using Apache Airflow, Apache Spark, Python, and Scala.

  • Build and manage cloud-based data ecosystems on GCP (BigQuery, Bigtable, Dataproc, Pub/Sub, Cloud Storage, IAM, VPC).

  • Design and optimize SQL and NoSQL data models for data lakes and warehouses (BigQuery, MongoDB, Snowflake).

  • Write complex SQL queries for advanced data transformation, aggregation, and analytics optimization within BigQuery or equivalent platforms.

  • Apply modern Test-Driven Development (TDD) methodologies for big data pipelines, ensuring test automation across Airflow workflows, Spark jobs, and transformation logic.

  • Apply data mesh and data-as-a-product principles to enable reusable and domain-driven datasets.

  • Implement real time ingestion with Kafka Connect and process streaming data using Spark Streaming, Apache Flink, or similar technologies

  • Optimize data performance, scalability, and cost efficiency across GCP components.

  • Ensure compliance with PCI and PII data with standards such as GDPR, PCI DSS, SOX, and CCPA.

  • Integrate GenAI tools such as OpenAI, Gemini, and Anthropic LLMs for intelligent data quality and analytics enhancement.

  • Collaborate with stakeholders, data scientists, and full stack engineers to deliver trusted, documented, and reusable data products

What Skills You Have

Required

  • 4+ years of experience in software development

  • Understanding of application design patterns, event-driven architecture, database, schemas and testing strategies

  • In-depth knowledge and experience with continuous integration, continuous deployment and test-driven development

Preferred

  • Bachelor's Degree or equivalent in MIS, Computer Science or related field

  • Experience with large-scale application troubleshooting and performance tuning

  • Exposure working with major cloud platforms (GCP, AWS, or Azure)

  • Familiarity and experience with XP (Extreme Programming) 

What Kohl's employees say

Pay

Benefits

Hours and flexibility

Workplace

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