Carhartt
The Senior Data Engineer designs, builds, and optimizes secure, reliable, and scalable enterprise data solutions using Azure Databricks and Lakehouse architecture. This role provides technical leadership in data pipeline design, data modeling, and cloud-native data platforms while mentoring engineers and collaborating across business, analytics, and security teams. The position focuses on delivering trusted data for reporting, advanced analytics, machine learning, and operational use cases.
Headquarters
Dearborn, Michigan, United States
Company Size
1001-5000 employees
Founded
1889
Carhartt is an American workwear brand that designs and manufactures rugged, durable clothing, footwear, and gear for tradespeople and outdoor enthusiasts. Founded in 1889, it’s best known for heavy‑duty jackets, bib overalls, flame‑resistant and insulated layers, and accessories built to withstand tough conditions. Carhartt distributes through its own retail stores, wholesale partners, and a global e‑commerce site, and its Carhartt WIP line adapts that heritage for contemporary streetwear. Customers choose Carhartt for functional design, long‑lasting construction, and a reputation for quality across industries and outdoor pursuits.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Carhartt.
Carhartt didn’t post a salary, so this is our estimate from similar listings.
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