Alta Genetics Logo

Alta Genetics

Senior Data Engineer

Posted Yesterday
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
Designs, develops, and maintains Databricks ETL pipelines, data lake architectures, datasets, and data integrations supporting reporting, analytics, and AI/ML workloads. Troubleshoots and optimizes Databricks and SSIS processes, maintains legacy systems, implements data quality controls, and supports data warehousing. Maintains SSRS reports and collaborates with business users, analysts, and IT teams to deliver reporting solutions. Documents work, communicates technical information, and contributes to AI-assisted development practices.
The summary above was generated by AI

This role is responsible for the design, development, and maintenance of data integration and reporting solutions. Working primarily in Databricks, you will build and maintain the pipelines and datasets that feed our reporting, analytics, and AI/ML workloads. The ideal candidate will possess expertise in Databricks and strong skills in SQL Server, SSIS and SSRS, and experience with other modern data engineering tools such as Azure Data Factory. This position requires a proactive and results-oriented individual with a passion for data and a strong understanding of data warehousing principles. A strong grasp of AI-assisted development tools as a regular part of the engineering workflow is expected.

 

Responsibilities

Data Integration

  • Design, develop, and maintain robust and efficient ETL pipelines and processes on Databricks.

  • Troubleshoot and resolve Databricks pipeline errors and performance issues.

  • Troubleshoot and resolve SSIS package errors and performance issues.

  • Optimize data flow performance and minimize data latency.

  • Implement data quality checks and validations within ETL processes.

  • Maintain legacy SSIS packages for ETL processes.

 

Databricks Development

  • Develop and maintain Databricks pipelines and datasets using Python, Spark and SQL.

  • Drive the design and implementation of batch and streaming data lake architectures supporting both analytics and AI/ML workloads.

  • Optimize Databricks jobs for performance and cost-effectiveness.

  • Integrate Databricks with other data sources and systems.

  • Migrate legacy systems (e.g. SSIS packages, SQL Server procs) to Databricks pipelines.

 

Data Warehousing

  • Participate in the design and implementation of data warehousing.

  • Support data quality initiatives and implement data cleansing procedures.

 

Reporting and Analytics

  • Collaborate with business users to understand data requirements for department driven reporting needs.

  • Maintain existing library of complex SSRS reports, dashboards, and visualizations.

  • Troubleshoot and resolve SSRS report issues, including performance bottlenecks and data inconsistencies.

 

Collaboration and Communication

  • Comfortable in entrepreneurial, self-starting, and fast-paced environment, working both independently and with our highly skilled teams.

  • Collaborate effectively with business users, data analysts, and other IT teams.

  • Communicate technical information clearly and concisely, both verbally and in writing.

  • Document all development work and procedures thoroughly.

 

Continuous Growth

  • Keep abreast of the latest advancements in data integration, reporting, data engineering.

  • Actively contribute to company’s AI-assisted tooling, strategies, and best practices.

  • Continuously improve skills and knowledge through training and self-learning.

 

Requirements

  • Bachelor's Degree in Computer Science, Information Systems, or a related field.

  • 7+ years of experience in data integration and reporting.

  • Extensive experience with Databricks, including Python, Spark, and Delta Lake

  • Experience with data warehousing concepts and best practices.

  • Strong proficiency with AI-assisted development tools.

  • Strong proficiency in SQL Server, including T-SQL, stored procedures, and functions.

  • Experience with SSIS (SQL Server Integration Services) development and maintenance.

  • Experience with SSRS (SQL Server Reporting Services) report design and development.

  • Experience with Microsoft Azure cloud platform and Microsoft Fabric desirable.

  • Strong analytical and problem-solving skills.

  • Excellent communication and interpersonal skills.

  • Ability to work independently and as part of a team.

  • Experience with Agile methodologies.

About Us

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
Remote
United States
165K-165K Annually
Senior level
165K-165K Annually
Senior level
Security • Cybersecurity
Designs and manages scalable data pipelines, contracts, transformation layers, and analytics models. The role focuses on data governance, observability, lineage, configuration validation, and collaboration with product engineering teams. It requires processing large datasets, integrating cloud and on-premises industrial technologies, and implementing streaming and message-queuing solutions, ideally in cybersecurity or industrial environments.
Top Skills: DockerGoJvmKubernetesNode.jsPython
2 Days Ago
In-Office or Remote
228K-228K Annually
Senior level
228K-228K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Owns end-to-end data engineering, including scalable pipelines, ELT workflows, analytics data models, cloud-based processing, data quality, governance, logging, anomaly detection, and experimentation measurement. Collaborates with product, engineering, analytics, and data science teams to deliver reliable, production-grade data solutions.
Top Skills: AgileAirflowAthenaAWSCi/CdEmrFlinkHiveJavaKafkaKinesisPythonRdsRedshiftS3SparkSQLSqsTest-Driven Development
12 Days Ago
In-Office or Remote
139K-219K Annually
Senior level
139K-219K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Build and maintain ETL/ELT pipelines to move product data into analytics-ready stores (Postgres, data lake, warehouse). Design and optimize data models, ensure data quality and documentation, support ad-hoc research requests, and collaborate with research and engineering teams to enable reproducible analytics.
Top Skills: Analytics WarehouseData LakeEltETLJsonbPostgresSQL

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