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

Data Engineer

Delafield, WI · On-site +1

$109K - $131K/yr

Collaborate with analysts, data scientists, and software engineers to understand requirements and ... WORK ENVIRONMENT Work is performed in an office environment, with hybrid/remote flexibility ...

Posted today

Data Engineer

Watertown, WI · On-site +1

$109K - $131K/yr

VAS, a URUS Group company, is looking for a Data Engineer to help design, build, and improve the data solutions that support our global business. Working primarily in Databricks, you'll develop and ...

Data Engineer

Watertown, WI · On-site +1

$109K - $131K/yr

VAS, a URUS Group company, is looking for a Data Engineer to help design, build, and improve the data solutions that support our global business. Working primarily in Databricks, you'll develop and ...

Senior Data Engineer

Brookfield, WI · Remote

$100K - $136K/yr

The Senior Data Engineer will design and build tools and processes that help clients derive ... This remote role is only open to individuals that reside in one of the following states at the time ...

Sr. Data Engineer

Pewaukee, WI · On-site +1

$112K - $134K/yr

However, this role is not available for 100% remote work and would require relocation to either ... Data Science, Software Engineering, or a related discipline. Five or more years of experience ...

New

Senior Data Engineer

Milwaukee, WI · Remote

$104K - $141K/yr

Define and evolve data integration frameworks, engineering standards, reusable patterns, and governance practices for a modern cloud data platform. * Design scalable Snowflake data architectures ...

Senior Data Engineer

Watertown, WI · On-site +1

$101K - $137K/yr

A strong grasp of AI-assisted development tools as a regular part of the engineering workflow is expected. Responsibilities Data Integration * Design, develop, and maintain robust and efficient ETL ...

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

Business Data Analyst

Milwaukee, WI · On-site +1

$55K - $120K/yr

... fully remote arrangements for the ideal candidate. Responsibilities: * Elicit, analyze, and ... Partner with developers and data engineers to ensure delivered solutions meet documented ...

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Showing results 1-20

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 Sep 6, 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 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 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 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.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.

What are the most commonly searched types of Data Engineer jobs in Pewaukee, WI?

The most popular types of Data Engineer jobs in Pewaukee, WI are:

What are popular job titles related to Remote Data Engineer jobs in Pewaukee, WI?

For Remote Data Engineer jobs in Pewaukee, WI, the most frequently searched job titles are:

What cities near Pewaukee, WI are hiring for Remote Data Engineer jobs?

Cities near Pewaukee, WI with the most Remote Data Engineer job openings:

Infographic showing various Remote Data Engineer job openings in Pewaukee, WI as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $126,934 per year, or $61 per hour.

$109K - $131K/yr

Full-time

Posted 23 hours ago

Posted today


Job description

Description

THE POSITION

Under the direction of the Manager, Data & Analytics, this role will be the Data Engineer responsible for designing, building, and maintaining the data infrastructure that powers analytics, reporting, and data-driven decision-making across Evans Transportation. This position owns the pipelines that move and transform data from source systems into clean, reliable, well-modeled datasets that analysts, data scientists, and business teams depend on.


Requirements

ROLES AND RESPONSIBILITIES

  • Design, build, and maintain scalable batch and streaming data pipelines (ETL/ELT).
  • Model and structure data in warehouses and lakehouses to support reporting and analytics use cases.
  • Integrate data from a wide range of sources: databases, APIs, third-party platforms, and event streams.
  • Ensure data quality, reliability, and observability through testing, monitoring, and alerting.
  • Optimize pipeline and query performance and manage cost and scalability of data systems.
  • Implement and enforce data governance, security, and access-control best practices.
  • Collaborate with analysts, data scientists, and software engineers to understand requirements and deliver usable data products.
  • Document data flows, schemas, and processes to keep the platform maintainable.
  • Perform all other duties as assigned.

An individual in this position must be able to successfully perform the essential duties and responsibilities listed above. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of this position.

The above list reflects the general details necessary to describe the principle and essential functions of the position and shall not be construed as the only duties that may be assigned for the position.


MINIMUM QUALIFICATIONS AND REQUIREMENTS

Experience / Training: 3+ years of experience in data engineering or a closely related role. Strong proficiency in SQL and some programming knowledge, preferably .NET and Python. Solid understanding of data modeling, dimensional modeling, warehousing concepts, and distributed data systems. Strong problem-solving skills and attention to data quality and correctness.

Licenses / Certifications: None required

Technology / Equipment: Hands-on experience with a cloud data warehouse and/or lakehouse platform. Experience building pipelines with orchestration tools (e.g., Airflow, Dagster, or dbt for transformations). Familiarity with a major cloud provider, preferably Azure.


PREFERRED QUALIFICATIONS AND REQUIREMENTS

Experience / Training: Exposure to data governance, lineage, or catalog tools. Experience supporting machine learning or analytics teams in production.

Licenses / Certifications: None specified

Technology / Equipment: Infrastructure-as-code and CI/CD experience (Terraform, Docker, Git-based workflows). Azure resource implementation with a working understanding of networking and security fundamentals, including virtual networks, private endpoints, firewall and IP rules, and managed identities. Experience with Microsoft Fabric and OneLake.


PHYSICAL AND MENTAL DEMANDS

While performing the duties of this job, the employee must be able to continuously sit, use a keyboard, calculator, and telephone. The employee is occasionally required to stand, walk, stoop, and/or kneel. The employee must occasionally lift and/or move up to 10 pounds while moving files or small packages. Specific vision abilities required by this job include close vision and the ability to adjust focus. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

The mental and physical requirements described here are representative of those that must be met by an individual to successfully perform the essential functions of this position.


WORK ENVIRONMENT

Work is performed in an office environment, with hybrid/remote flexibility available for the ideal candidate. The noise level in the work environment is usually moderate. The work environment characteristics described here are representative of those an individual encounters while performing the essential functions of this position.

The work environment characteristics described here are representative of those an individual encounters while performing the essential functions of this position.