Data Engineer

Neogen Corporation

full-time

Posted on: 3/18/2026

Location Type: Remote

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About the role

Design, build, and support reliable ELT/ETL pipelines on Microsoft Azure.
Partner with data architects, BI developers, and business stakeholders to land ERP and operational data into our lake/warehouse.
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 optimized data sets for consumption.
Hardening and improving CI/CD (Azure DevOps), environments, and runbooks for compliant delivery.
Contribute to standards (naming, partitioning, coding patterns) and knowledge base articles/playbooks for on-call support.

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.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

ELTETLSQLperformance tuningAzure Data FactorySynapseDatabricksPySparkAzure Data Lakedata testing frameworks

Soft Skills

collaborationcommunicationproblem-solvingincident triageroot-cause analysis