Hybrid Data Engineer — Build Scalable Pipelines

Stefanini, Inc

United States

United States

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About

A global IT consulting firm is seeking a Data Engineer in San Francisco, CA to design and maintain scalable data pipelines. The ideal candidate will have expertise in Python, PySpark, and experience with data engineering tools like Databricks. This role requires collaboration with various teams to facilitate data-driven decision-making. The position offers a hybrid work model and a competitive salary range of $102.00 - $107.00 per hour. #J-18808-Ljbffr

United States

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English

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