Alta Genetics Logo

Alta Genetics

Data Engineer

Posted 9 Hours Ago
In-Office or Remote
Hiring Remotely in United States
Entry level
In-Office or Remote
Hiring Remotely in United States
Entry level
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.
The summary above was generated by AI

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.

Similar Jobs

11 Hours Ago
In-Office or Remote
113K-193K Annually
Expert/Leader
113K-193K Annually
Expert/Leader
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads the architecture, development, modernization, and governance of enterprise-scale Azure data platforms. Designs pipelines, data lakes, warehouses, and Snowflake analytics solutions; implements Terraform-based infrastructure automation; and drives cloud migrations. Develops AI agents and intelligent automation for engineering productivity. Provides technical leadership, code reviews, mentorship, and architectural guidance while ensuring platform reliability, security, compliance, and cost efficiency.
Top Skills: Ai AgentsAi Orchestration FrameworksSparkAzure Data FactoryAzure Data Lake StorageAzure FunctionsAzure OpenaiAzure SqlCi/CdDatabricksDevOpsInfrastructure As CodeLarge Language ModelsMachine Learning WorkflowsAzurePythonRetrieval Augmented GenerationSnowflakeSQLTerraformVector Databases
2 Days Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
Senior level
Senior level
Fintech • News + Entertainment • Software • Database • Financial Services
Lead the architecture and development of scalable AWS-based data ingestion, transformation, and orchestration pipelines. Build reliable data infrastructure using Python, SQL, Airflow, Lambda, ECS, SQS, and Terraform. Establish data modeling, quality, lineage, monitoring, testing, and observability practices while partnering with analysts, scientists, and backend engineers. Mentor senior engineers, guide technical decisions, and provide hands-on leadership for complex data platform initiatives.
Top Skills: Amazon EcsAmazon KinesisAmazon RedshiftAmazon S3Amazon SqsApache AirflowApache FlinkAWSAws GlueAws LambdaBeautifulsoupCi/CdDatabricksDockerGreat ExpectationsKafkaMonte CarloMwaaPythonScrapySnowflakeSQLTerraform
7 Days Ago
Remote or Hybrid
113K-193K Annually
Senior level
113K-193K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design and operate scalable batch and streaming data platforms supporting machine learning and generative AI. Build pipelines for structured, unstructured, OCR, document, and image data; develop RAG, semantic search, and LLM-powered solutions; and establish data quality, observability, governance, orchestration, and deployment practices. Partner with stakeholders, lead platform scalability and cost optimization, mentor engineers, and translate ambiguous needs into production-ready technical roadmaps while securely handling sensitive data.
Top Skills: AirflowAmazon KinesisSparkAWSAzureAzure Event HubsChart.JsDatabricksDeequDelta LakeDockerGithub ActionsGCPGreat ExpectationsJavaKafkaKubernetesLlmsMlopsPlotlyPysparkPythonRagScalaSeabornSnowflakeSQLTerraform

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account