SENIOR DATA ENGINEER
Erlanger, KY On-site
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About the role
As a Senior Data Engineer, you will play a key role in building and evolving the data foundation that powers decision-making across The Fischer Group. You'll design, develop, and maintain scalable data pipelines and modern Lakehouse/Warehouse solutions on the Microsoft Fabric platform, ensuring business data is accurate, reliable, and analytics-ready. In this role, you'll help modernize our data ecosystem by migrating legacy solutions, establishing engineering best practices, and partnering with Analytics, Business Intelligence, and IT teams to deliver trusted data that drives business insights. This position is 100% onsite, day 1 in our Erlanger, KY office. We believe our success is driven by our people. We seek out talented individuals and provide the training, resources, and support needed to grow their careers and make a meaningful impact. The rewards for their efforts are:
What you'll bring
- Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent professional experience.
- Three (3)+ years of experience designing, building, and supporting enterprise data pipelines (ETL/ELT) in a production environment.
- Strong proficiency in SQL and experience with Python.
- Hands-on experience with Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, Snowflake, or a similar cloud data platform.
- Experience implementing data ingestion strategies, incremental loading, watermarking, and reliable pipeline architecture.
- Experience with source control and CI/CD practices using Git or similar tools.
- Strong analytical, problem-solving, communication, and organizational skills.
- Microsoft Certified: Fabric Data Engineer Associate (DP-700), or actively pursuing certification.
- Experience migrating legacy SSIS or on-premises data environments to cloud-based Lakehouse architectures.
- Experience with data quality frameworks, pipeline monitoring, and data contracts.
- Familiarity with dimensional modeling (Kimball methodology).
- Experience working in Agile environments using Scrum or Kanban methodologies.