Data Engineer

Neogen Corporation is dedicated to protecting the world’s food supply through innovative solutions. They are seeking a Data Engineer to design, build, and support reliable ELT/ETL pipelines on Microsoft Azure, partnering with various stakeholders to ensure data quality and operational efficiency.

Responsibilities:

• Build & operate pipelines using Azure Data Factory (or Synapse Data Pipelines) to ingest and transform data into our Azure Data Lake and Synapse/SQL layers
• Develop SQL views/tables and reusable transformation logic to support analytics and reporting (including Power BI semantic models)
• Own reliability for assigned data domains: monitor jobs, triage incidents, perform root‑cause analysis, and execute break/fix and performance tuning
• Ensure data quality via validation checks, schema enforcement, and automated tests; document lineage and business rules
• Collaborate with BI developers and business partners to translate requirements into well-documented data sets optimized for consumption
• Harden and improve CI/CD (Azure DevOps), environments, and runbooks for repeatable, compliant delivery
• Contribute to standards (naming, partitioning, coding patterns) and knowledge base articles/playbooks for on-call support

Requirements:

• 2–5 years in data engineering or adjacent software/data roles with hands-on delivery in cloud data platforms
• Strong SQL and performance tuning on Synapse/SQL Server (or equivalent)
• Practical experience with Azure Data Factory / Synapse pipelines, Databricks (PySpark), and Azure Data Lake
• Familiarity with dimensional/semantic modeling for Power Query or Power BI
• Exposure to Microsoft Fabric concepts, Purview governance, or metadata/lineage tooling
• Experience integrating data from ERP platforms (e.g., SAP, Sage/SL, Business One) and SaaS sources
• Data testing frameworks, orchestration patterns, and cost/performance optimization on Azure