Data Engineer

Posted 7 Hours Ago
2 Locations
In-Office or Remote
Entry level
Food
The Role
Designs, builds, and maintains scalable batch and streaming data pipelines and datasets in Databricks using Python, Spark, SQL, and Delta Lake. Supports SQL Server, SSIS, and SSRS environments while improving performance, reliability, data quality, and scalability. Integrates enterprise data sources, applies data warehousing practices, and partners with business users, analysts, and IT teams to deliver reporting, analytics, and AI/ML solutions.
Summary Generated by Built In

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.

Skills Required

  • Bachelor’s degree in Computer Science, Information Systems, or a related field
  • Hands-on experience with Databricks, Python, Spark, and Delta Lake
  • SQL Server and data warehousing experience, including T-SQL
  • Experience with SSIS and SSRS
  • Experience with Microsoft Azure
  • Experience using AI-assisted development tools in the engineering workflow
  • Microsoft Fabric experience
  • Strong analytical, problem-solving, communication, and collaboration skills
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The Company
HQ: Rocky View
1,000 Employees
Year Founded: 1986

What We Do

We Create Value We do more than produce and market semen from high caliber sires. We aim to create value for farmers by striving to understand each farm’s individual needs and goals. Our innovative genetic programs and reproductive services make the difference at the farm level. Using customized programs, specific to each producer's needs, we promise to improve individual herd profitability. We Build Trust Trust is built on the foundation to provide top quality products and services that deliver on their promise. We commit to providing such programs and services every day. Our unique product development testing standards are the most rigorous and accurate in the world, and are the clearest statement of our commitment to gaining your trust. We Deliver Results Our people, who have a passion for the business, can be counted on to deliver beyond expectation. We consistently deliver high impact genetic results and strategies to maximize herd profitability. We provide services to improve each farm's reproductive performance and capitalize on genetic investments. We take our responsibility seriously – to deliver excellence through our products, programs and services that generate profit for the progressive farms we work with around the world.

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