Data Engineer

URUS Group; Madison (WI); A distancia; USD 110.000 - 160.000; Jornada completa

Descripción de la vacante

URUS Group's VAS is seeking a Data Engineer to design, build, and improve data solutions supporting our global business. Working primarily in Databricks, you’ll develop and maintain pipelines and datasets powering reporting, analytics, and AI/ML workloads.

You will work across modern and established data technologies, focusing on performance, reliability, data quality, and scalability, with strong Databricks hands-on experience and a solid understanding of data warehousing in Microsoft

Formación

• 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.

Responsabilidades

• 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

Conocimientos

Databricks

Python

SQL

Spark

Delta Lake

SSIS/SSRS

Azure

AI-assisted tools

Communication

Collaboration

Educación

Bachelor’s degree in Computer Science, Information Systems, or related field

Herramientas

SSIS

SSRS

Descripción del empleo

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.

Job Info

• Job Identification 2115
• Posting Date 08/26/2026, 07:01 PM
• Job Schedule Full time
• Locations 2323 Crossroads Dr, Suite 500, Madison, WI, 53718, US (Remote)