Data Engineering Manager

@ Yelp

Summary

Yelp engineering culture is driven by values of cooperation, authenticity, and creativity. New engineers deploy working code in their first week and grow with support from managers and mentors. The Data Engineering Manager role focuses on transforming raw data into trusted, scalable systems that empower teams with actionable insights.

Role Overview

As the Data Engineering Manager, you will lead and mentor a team of data engineers, guide architectural design, and ensure the delivery of high-quality data products. You will work cross-functionally with engineers, analysts, data scientists, and business leaders to build scalable pipelines and robust data models.

What You'll Do

• Mentor and guide the engineering team through hands-on work.
• Develop and manage trusted data products following a "data as a product" philosophy.
• Design, develop, and scale modern data pipelines and models.
• Define best practices for data modeling, testing, and documentation.
• Ensure SLAs for production data sets and systems are met.
• Collaborate with cross-functional teams to gather requirements and deliver integrated solutions.
• Enhance the developer experience with improved tooling and automation.

What It Takes To Succeed

Strong background in data engineering or backend development, with expertise in SQL, Python, and cloud-native solutions. Experience with tools like dbt, Airflow, Snowflake, and Redshift is essential. Proven leadership skills, excellent communication, and a commitment to a culture of operational excellence are required.

What You'll Get

The role offers competitive annual compensation ranging from $182,000 to $312,000, along with bonuses, restricted stock units, and benefits. This is a fully remote position open across the United States.

Key skills/competency

• Data Engineering
• Leadership
• SQL
• Python
• Cloud
• Data Modeling
• Pipeline Architecture
• Mentorship
• Automation
• Collaboration