Data Engineer
Neogen Corporation · United States
- Hybrid
- Full-time
- $95,000 / year
- United States
Tailored resume — keyword-matched to this role.
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Job highlights
- Build and operate data pipelines on Microsoft Azure.
- Design and implement data models for analytics.
- Ensure data quality and reliability.
- Collaborate with business stakeholders.
- Support CI/CD and operational excellence.
About the role
Data Engineer - Azure ELT/ETL Pipelines
It's fun to work in a company where people truly believe in what they are doing!
We’re hiring a Data Engineer to design, build, and support reliable ELT/ETL pipelines on Microsoft Azure. You’ll partner with data architects, BI developers, and business stakeholders to land ERP and operational data into our lake/warehouse, model it for analytics, and keep it flowing. This role emphasizes implementation, optimization, and break/fix support over enterprise architecture ownership.
Key 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.
Minimum Qualifications
- 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.
Preferred Qualifications
- 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.
Come Be Part Of A Mission that Matters! From inside the farm gate to our dinner plates, Neogen protects the world’s food supply. Through a variety of animal healthcare products, to food safety solutions for dangerous bacteria, allergens, toxins, drug residues and much more, Neogen is there — and you can be too.
Key skills/competency
- Data Engineering
- Azure Data Factory
- Synapse
- SQL
- Databricks
- PySpark
- Azure Data Lake
- ETL/ELT
- Data Modeling
- CI/CD
Skills & topics
- Data Engineer
- Azure
- Data Factory
- Synapse
- SQL
- Databricks
- PySpark
- Azure Data Lake
- ETL
- ELT
- Cloud Data Platform
- Data Modeling
- CI/CD
- DevOps
- BI Development
- Power BI
- ERP Integration
- SaaS Integration
- Performance Tuning
- Data Quality
How to get hired
- Tailor your resume: Highlight your experience with Azure, SQL, and ETL/ELT processes, specifically mentioning Azure Data Factory, Databricks, and Azure Data Lake.
- Showcase cloud skills: Emphasize your hands-on experience in cloud data platforms and performance tuning for SQL and Synapse.
- Quantify achievements: Use numbers to demonstrate the impact of your data engineering work, such as improvements in data processing speed or reliability.
- Prepare for technical questions: Be ready to discuss your approach to pipeline design, data modeling, and troubleshooting common data engineering issues.
- Understand the mission: Research Neogen's role in food safety and articulate how your data engineering skills contribute to their mission.
Technical preparation
Practice building ETL/ELT pipelines in Azure.,Write complex SQL queries and optimize them.,Develop data models for analytics and reporting.,Familiarize yourself with CI/CD practices.
Behavioral questions
Describe a complex data pipeline challenge.,How do you ensure data quality and reliability?,How do you collaborate with business stakeholders?,Share an experience of performance tuning.
Frequently asked questions
- What are the core technologies used for the Data Engineer role at Neogen Corporation?
- The Data Engineer role at Neogen Corporation primarily utilizes Microsoft Azure services, including Azure Data Factory (or Synapse Data Pipelines), Azure Data Lake, and Synapse/SQL Server. Experience with Databricks (PySpark) is also essential for this position.
- What level of experience is required for the Data Engineer position?
- Neogen Corporation is seeking candidates with 2-5 years of experience in data engineering or related software/data roles, with a strong focus on hands-on delivery in cloud data platforms.
- How does Neogen Corporation emphasize data quality in this role?
- Data quality is a key focus for the Data Engineer at Neogen. This involves implementing validation checks, schema enforcement, automated tests, and documenting data lineage and business rules to ensure trustworthy data.
- What is the primary focus of this Data Engineer role at Neogen Corporation?
- The primary focus for this Data Engineer role is the implementation, optimization, and break/fix support of ELT/ETL pipelines on Microsoft Azure, rather than enterprise architecture ownership.
- Does Neogen Corporation offer opportunities for growth in cloud technologies for this Data Engineer role?
- Yes, this role offers exposure to various Azure services and potentially emerging technologies like Microsoft Fabric, providing opportunities to grow your skills in cloud data platforms and data engineering best practices.
- What kind of data will the Data Engineer be working with at Neogen Corporation?
- The Data Engineer will work with ERP and operational data, landing it into Azure Data Lake and Synapse/SQL layers, and modeling it for analytics and reporting, including Power BI semantic models.
- How important is SQL and performance tuning for this Data Engineer job?
- Strong SQL skills and experience with performance tuning on platforms like Synapse/SQL Server are critical requirements for this Data Engineer position at Neogen Corporation.