Data Engineering Manager

Doximity Doximity · Vertical AI · San Francisco, CA · Data

Data Engineering Manager role at Doximity, a healthcare technology company. The role involves managing a team of data engineers, establishing data architecture processes, and collaborating with product managers, data analysts, and machine learning engineers to develop pipelines and ETL tasks. The ideal candidate has experience as a data engineer and people manager, with a working knowledge of ML/AI deployment and monitoring.

What you'd actually do

  1. Collaborate with product managers, data analysts, and machine learning engineers to develop pipelines and ETL tasks in order to facilitate the extraction of insights.
  2. Establish data architecture processes and practices that can be scheduled, automated, replicated and serve as standards for other teams to leverage.
  3. Inform data team strategy by working with the product leaders and managers.
  4. Actively participate in execution and some planning of organizational data team strategy.
  5. Manage individual Data Engineers to foster learning, growth and success at Doximity.

Skills

Required

  • 5 years of industry experience as a data engineer or similar role
  • Experience managing 3 or more people
  • Ability to explain complex concepts simply
  • Ability to contribute individually and balance priorities
  • Led several projects from idea generation to planning, execution, through delivering
  • Working knowledge of how ML/AI applications are deployed and monitored

Nice to have

  • high code quality
  • guide others
  • motivated to use this awareness to advance data-driven initiatives

What the JD emphasized

  • Foremost an engineer
  • Experienced People Manager
  • ML/AI–aware