Senior Data Engineer (Azure Databricks)

TL;DR

Senior Data Engineer (Azure Databricks): Owning end-to-end data engineering for pricing, commerce, and analytics domains with an accent on Databricks-based ETL pipelines and data modeling. Focus on designing robust ingestion patterns, improving data quality, and building an enterprise data warehouse to support commercial decision-making.

Location: Hybrid (3 days in office) in Willingboro, NJ or Chicago, IL

Salary: Up to $170,000

Company

A long-established distributor of industrial automation and electrical control parts supporting manufacturing and facilities teams across diverse sectors.

What you will do

• Maintain and enhance ETL processes bringing source data into Databricks.
• Design high-level solutions and create task lists for data ingestion and transformation.
• Collaborate with pricing, digital, and analytics teams to gather requirements.
• Support the Azure Databricks platform and contribute to achieving an enterprise data warehouse.
• Influence how data is modelled and consumed across reporting, pricing engines, and digital channels.

Requirements

• Strong experience with Databricks on Azure.
• Advanced SQL proficiency.
• Experience designing ETL processes and data transformations.
• Good communication skills for interaction with senior stakeholders.
• Must be based in or able to work from Willingboro, NJ or Chicago, IL

Nice to have

• Python/PySpark experience.

Culture & Benefits

• Bonus: approximately 10%.
• Hybrid work arrangement with flexible office days (3 days per week).
• Opportunity to work in a technically focused environment handling complex data at scale.