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Remote Databricks Data Engineer Jobs in Wisconsin

AgSource

Data Engineer

Watertown, WI · On-site +1

$109K - $131K/yr

Working primarily in Databricks, you'll develop and maintain pipelines and datasets that power ... We're looking for someone with strong data engineering fundamentals, hands-on Databricks experience ...

Urus Group LP

Data Engineer

Watertown, WI · On-site +1

$109K - $131K/yr

Working primarily in Databricks, you'll develop and maintain pipelines and datasets that power ... We're looking for someone with strong data engineering fundamentals, hands-on Databricks experience ...

AgSource

Senior Data Engineer

Watertown, WI · On-site +1

$101K - $137K/yr

Working primarily in Databricks, you will build and maintain the pipelines and datasets that feed ... Keep abreast of the latest advancements in data integration, reporting, data engineering.

Qualysoft

Fur ein langfristig angelegtes Daten- und KI-Programm wird ein Databricks AI / ML Engineer ... Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote Projektsprache: Deutsch und Englisch Aufgaben: ...

Rural Mutual Insurance

Data Engineer

Milwaukee, WI · On-site +1

$112K - $135K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines ... This is a remote position with periodic on-site presence required. Candidates must live and work in ...

Rural Mutual Insurance

Data Engineer

Madison, WI · On-site +1

$115K - $138K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines ... This is a remote position with periodic on-site presence required. Candidates must live and work in ...

SysLogic, Inc.

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 ...

AgSource

Dairy Data Scientist

Watertown, WI · On-site +1

You'll work with veterinarians, nutritionists, dairy scientists, farm operators, data engineers ... Use tools such as Python, R, SQL, Databricks, or similar analytics platforms to explore and analyze ...

Urus Group LP

Dairy Data Scientist

Watertown, WI · On-site +1

You'll work with veterinarians, nutritionists, dairy scientists, farm operators, data engineers ... Use tools such as Python, R, SQL, Databricks, or similar analytics platforms to explore and analyze ...

Qualysoft

Remote bevorzugt, gelegentliche Vor-Ort-Termine nach Absprache 400 - 450 a day Aufgaben Aufbau und ... Betrieb von End-to-End Data-Science- und ML-Workflows Implementierung von ML ...

AgSource

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 ... Cloud AI infrastructure fluency, specifically Databricks and AWS. * Experiment design and ...

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 ... Cloud AI infrastructure fluency, specifically Databricks and AWS. * Experiment design and ...

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Remote Databricks Data Engineer information

What is a remote Databricks data engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

What are the key skills and qualifications needed to thrive as a remote Databricks data engineer?

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What are some common challenges faced by remote Databricks data engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.

What are the most commonly searched types of Databricks Data Engineer jobs in Wisconsin?

The most popular types of Databricks Data Engineer jobs in Wisconsin are:

What are popular job titles related to Remote Databricks Data Engineer jobs in Wisconsin?

For Remote Databricks Data Engineer jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Remote Databricks Data Engineer jobs in Wisconsin look for?

The top searched job categories for Remote Databricks Data Engineer jobs in Wisconsin are:

What cities in Wisconsin are hiring for Remote Databricks Data Engineer jobs?

Cities in Wisconsin with the most Remote Databricks Data Engineer job openings:

Remote Databricks Data Engineer jobs near you
Infographic showing various Remote Databricks Data Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 100% Full Time. Highlights an 8% Hybrid, and 92% Remote job distribution.

Data Engineer

AgSource

Watertown, WI • On-site, Remote

$109K - $131K/yr

Full-time

Posted 11 days ago

Key responsibilities

  • Design, build, and maintain scalable ETL/ELT pipelines and datasets in Databricks using Python, Spark, and SQL.

  • Develop and support batch and streaming data architectures for reporting, analytics, and AI/ML workloads.

  • Troubleshoot and optimize Databricks and existing data integration processes for performance, reliability, and data latency.

Job description


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 maintain pipelines and datasets that power reporting, analytics, and AI/ML workloads.
This role works across both modern and established data technologies, with a focus on improving performance, reliability, data quality, and scalability. We're looking for someone with strong data engineering fundamentals, hands-on Databricks experience, and a solid understanding of data warehousing and Microsoft-based data environments.
Responsibilities
  • Design, build, and maintain scalable ETL/ELT pipelines and datasets in Databricks using Python, Spark, and SQL.
  • Develop and support batch and streaming data architectures for reporting, analytics, and AI/ML workloads.
  • Troubleshoot and optimize Databricks and existing data integration processes for performance, reliability, and data latency.
  • Support and enhance existing SQL Server, SSIS, and SSRS solutions while contributing to ongoing platform modernization.
  • Implement data quality checks, validation, cleansing, and data warehousing best practices across data pipelines and reporting environments.
  • Integrate Databricks with enterprise applications, databases, and other data sources.
  • Partner with business users, analysts, and IT teams to translate reporting and data needs into scalable technical solutions.
  • Contribute to continuous improvement through emerging data engineering practices, AI-assisted development tools, documentation, and ongoing learning

Requirements
  • Bachelor's degree in Computer Science, Information Systems, or a related field.
  • Strong hands-on experience with Databricks, including Python, Spark, and Delta Lake.
  • Strong SQL Server and data warehousing experience, including T-SQL.
  • Experience with SSIS and SSRS.
  • Experience with Microsoft Azure; Microsoft Fabric is a plus.
  • Experience using AI-assisted development tools as part of the engineering workflow.
  • Strong analytical, problem-solving, communication, and collaboration skills.

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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