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

Urus Group LP

Senior AI/ML Engineer

Watertown, WI · On-site +1

$99K - $136K/yr

Turn decades of data into intelligence that helps feed the world. VAS is the Operating System of ... We are seeking a Senior AI/ML Engineer to lead the building of scalable real-time production-grade ...

Johnson Controls

Senior Modeling Engineer

Milwaukee, WI · On-site +1

$103K - $141K/yr

What You Will Do Johnson Controls' Data Center Thermal Technology Solutions group is seeking a ... also be a remote opportunity for the right candidate! How You Will Do It * Develop numerical ...

TEKsystems

Senior Platform Engineer

Milwaukee, WI · Remote

$55 - $75/hr

... on PLCs and HMIs, and pulling data directly from manufacturing machines. Day to Day ... remote position. Application Deadline This position is anticipated to close on Sep 4, 2026. About ...

WEC Energy Group

Gas SCADA Engineer

Waukesha, WI · On-site +1

$156K/yr

This position currently offers flexibility for a hybrid work arrangement (remote/on-site) with time regularly spent in the Pewaukee office. This position is part of a job family (Associate Engineer ...

We Energies (WE)

Gas SCADA Engineer

Pewaukee, WI · On-site +1

$156K/yr

This position currently offers flexibility for a hybrid work arrangement (remote/on-site) with time regularly spent in the Pewaukee office. This position is part of a job family (Associate Engineer ...

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Showing results 41-60

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Pewaukee, WI

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.
More about Remote Data Engineer jobs

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:

Remote Data Engineer jobs near you
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.

Senior AI/ML Engineer

Urus Group LP

Watertown, WI • On-site, Remote

$99K - $136K/yr

Full-time

Posted 25 days ago

Key responsibilities

  • Lead the building of scalable real-time production-grade AI/ML applications for dairy farms.

  • Identify opportunities to apply AI to improve efficiency, growth, and customer value, and demonstrate AI capabilities to stakeholders.

  • Build, deploy, and monitor AI/ML models in production environments, ensuring their integration into real-time applications.

Job description


Turn decades of data into intelligence that helps feed the world.
VAS is the Operating System of the modern dairy with decades of longitudinal data for the most productive cows in the world. We hold a dominant US market position, and an expanding global reach.
We are seeking a Senior AI/ML Engineer to lead the building of scalable real-time production-grade applications that use AI/ML models to drive actionable intelligence on dairy farms. This is a strategic, hands-on position for an experienced technical leader who has a track record of shipping AI-enhanced customer applications and tooling used by engineering teams.
Our highly customizable on-farm systems give dairy owners unmatched flexibility in how they run their business. The right candidate sees that as a data challenge, where others will see it as an unsolvable mess.
RESPONSIBILITIES
AI Enablement
  • Understand customer challenges and how integrating AI capabilities can help lead to solutions that have AI as a differentiator.
  • Identify opportunities to apply AI for efficiency, growth, and customer value
  • Drive awareness of AI capabilities and demonstrate how it can address customer needs, improve efficiency, reduce costs, and drive growth
  • Drive transformation from AI-Ad Hoc to AI-Native engineering practices
  • Serve as an AI technical SME, conduct R&D to meet the needs of our AI strategy
  • Continuously assess emerging AI tools and make data-driven recommendations
  • Measure & Accelerate Adoption: Establish KPIs, track progress from the current to 100% adoption, implement interventions to accelerate uptake and communicate impact
  • Build Center of Excellence: Create forums for knowledge sharing, celebrate wins, and foster peer-to-peer learning
  • Cross-functional communication, explaining technical tradeoffs to product, dairy science, and engineering leadership in plain language.
  • Working with other enterprise stakeholders, establish AI governance frameworks and guardrails covering compliance, security, privacy, and ethical AI practices, and embed them into development workflows

Core AI Engineering Skills
  • Comfort across the full method spectrum, from classical statistics and operations research through machine learning to modern generative AI, choosing the simplest tool that solves the problem.
  • Data-wrangling skill with messy, distributed, legacy enterprise data sources, including inconsistent schemas and incomplete records.
  • Feature-engineering and data preprocessing for both structured farm data and unstructured sources.
  • Model selection and evaluation, knowing when linear regression, optimization, or a lookup table beats a neural network.
  • Production deployment experience, shipping models into real time applications rather than notebooks.
  • Cloud AI infrastructure fluency, specifically Databricks and AWS.
  • Experiment design and statistical rigor, being able to prove a model or method actually improves outcomes.
  • Translating ambiguous business or technical requirements into working systems.
  • Agentic and MCP experience

Evaluation, Testing & Observability
  • Build unit and behavioral tests for agents, tools, and workflows.
  • Develop tooling for trace analysis, agent state debugging, and hallucination tracking.
  • Compare and benchmark agent orchestration frameworks for trade-offs in speed, reliability, and usability.

Model Fine-Tuning & MLOps
  • Integrate, deploy, fine tune and monitor models in production using cloud providers.
  • Set up agent logging, observability dashboards, and recovery workflows.

Front-end & User Experience
  • Collaborate with front-end developers or build user-facing components using React, TypeScript.
  • Ensure seamless user and agent interaction via UI and API bridges.

EDUCATION & EXPERIENCE
Your background might include software engineering, data engineering, data science, machine learning engineering or AI engineering. What matters most is demonstrated technical depth and a track record of building and deploying AI/ML solutions in production.
  • Significant hands-on experience designing, building and deploying production AI/ML solutions.
  • Strong experience working with complex data, including distributed systems, inconsistent schemas and incomplete or legacy datasets.
  • Experience with feature engineering, model selection, experimentation and evaluation.
  • Strong understanding of descriptive, predictive, prescriptive and generative AI approaches.
  • Experience selecting and applying techniques across statistics, operations research, machine learning and deep learning.
  • Demonstrated experience taking models from experimentation through production deployment and monitoring.
  • Experience with deep learning frameworks and cloud-based AI services.
  • Experience with AWS and/or Databricks.
  • Experience or exposure to agentic architectures, MCP and AI orchestration frameworks.
  • Strong software engineering fundamentals and experience building scalable, production-quality systems.
  • Ability to translate ambiguous requirements into working solutions and clearly communicate technical decisions and tradeoffs.
  • Bachelor's degree in Software Engineering, Computer Science, Data Science, AI/ML or a related field preferred.

About Us
For the past 40 years we've woken up each day to support those that never stop feeding the world - and we have no plans to quit. We set the standard for farm management solutions and fix our eyes on raising the bar to meet the next generation of expectations.
Our software and information solutions help collect and connect a farm's data - from herd management to feed performance, tracking and more. These insights are a source of truth, empowering producers and their trusted advisors to make profit-driven and sustainable management decisions.
Whether near or far, large or small, VAS is at the heart of your dairy.
VAS has deep roots in the industry through its origin within the URUS family of companies. As a holding company with cooperative and private ownership, URUS is a family of businesses at the heart of the dairy and beef industry - Alta Genetics, GENEX, Genetics Australia, Leachman Cattle, Jetstream, PEAK, SCCL, Trans Ova Genetics and VAS. Each organization has its unique identity, products, and services. These companies work globally to provide cutting-edge dairy and beef genetics, customized reproductive services to maximize conceptions, dairy management information to take producers to the frontline of progressive dairy farming, and an array of products and services to help bovines reach their full genetic potential. URUS has 9 brands in 17 retail countries and employs nearly 2,800 people globally.

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