Alta Genetics Logo

Alta Genetics

Data Engineer

Posted 8 Days 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

Yesterday
In-Office or Remote
92K-164K Annually
Senior level
92K-164K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead migration of on-premises databases and ETL workloads to Azure and Snowflake. Design scalable data platforms using Azure Data Factory, Databricks, ADLS, Logic Apps, Blob Storage, and Python. Modernize SSIS, T-SQL, and legacy ETL solutions while developing AI-powered capabilities using LLMs, semantic search, vector databases, document intelligence, and RAG architectures. Work independently, collaborate effectively, adopt new technologies, and travel up to 10%.
Top Skills: Anthropic ClaudeAWSAzure Ai SearchAzure Ai StudioAzure Blob StorageAzure CloudAzure Data FactoryAzure Data Lake Storage Gen2Azure Machine LearningAzure OpenaiDatabricksDocument IntelligenceGoogle Cloud PlatformLarge Language ModelsLogic AppsMlflowMlopsOpenaiPrompt EngineeringPythonRetrieval-Augmented GenerationSelf-Hosted Integration RuntimeSemantic SearchSnowflakeSparkSsisT-SqlVector Databases
10 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
15 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 NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account