Data Engineering Leader: Pipelines, ML & People (Remote)

Kenyan Edu; San Francisco, Northern (CA, KY); Hybrid; USD 172,000 - 254,000; Full time

Benefits offered by this job

Medical, dental, vision offerings for

401k with matching program

Employee stock purchase plan

Family planning support, Childcare FSA

Life, AD&D, and Disability

Generous time off, holidays and paid公司

Wellness benefits…plus many more!

Job summary

Doximity in San Francisco or remote within the U.S. is seeking an experienced software/data engineering leader with 5+ years in data engineering or a similar role.

You will guide a team, reinforce code quality, and drive end-to-end data pipelines using Python and SQL. Ideal candidates have experience automating tests, applying design patterns, and mentoring 3+ engineers while collaborating with product managers, data analysts, and ML engineers to extract insights.

Qualifications

• 5+ years of experience as a data engineer or similar role.
• Experience managing 3+ engineers and guiding their growth.
• Proficiency in Python and SQL with scalable data pipelines.

Responsibilities

• Collaborate with product managers, data analysts, and ML engineers to develop pipelines and ETL tasks to extract insights.
• Establish data architecture processes and automated, repeatable standards for other teams.
• Inform data team strategy by working with product leaders and managers.
• Actively participate in execution and some planning of organizational data team strategy.
• Collaborate with Doximity’s Data Leadership to ensure alignment across the Data Organization.

Skills

Python

SQL

Data pipelines

Automated testing

Design patterns

People management

Communication

ML/AI awareness

End-to-end delivery

Job description

Doximity in San Francisco or remote within the U.S. is seeking an experienced software/data engineering leader with 5+ years in data engineering or a similar role.

You will guide a team, reinforce code quality, and drive end-to-end data pipelines using Python and SQL. Ideal candidates have experience automating tests, applying design patterns, and mentoring 3+ engineers while collaborating with product managers, data analysts, and ML engineers to extract insights.