Senior Data Engineer

Responsibilities:

• Lead Databricks lakehouse execution across bronze, silver, and gold with a focus on maintainable Lakeflow-driven pipelines and high-quality curated outputs.
• Own common data model implementation, conformed dimensions, fact design, and reusable gold datasets for reporting, forecasting, and AI/BI consumption.
• Design and build scalable data models for SAP, manufacturing, finance, sales, supply chain, and operational domains.

Qualifications:

• 7+ years of experience in data engineering with strong ownership of Databricks, data modeling, and production data pipelines.
• Deep experience with Spark, SQL, Python, medallion architecture, and dimensional or conformed data model design.
• Experience working with SAP or comparable ERP data and complex manufacturing, finance, supply chain, or commercial subject areas.

Benefits:

• We offer 100% employer paid medical plan.
• Other optional benefit programs include: 401(k) match, additional medical plans, dental, vision, flex spending account, short-term and long-term disability & life insurance coverage.