Data Engineering Manager
@ Yelp

Hybrid
$250,000
Hybrid
Full Time
Posted 24 days ago

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XXXXXXXX XXXXXXXXXXX XXXXXXXXXX***** @yelp.com
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Job Details

Summary

Yelp engineering culture is driven by values of cooperation, authenticity, and creative problem solving. All new engineers deploy working code their first week while growing as engineers in a collaborative environment.

Role Overview

As a Data Engineering Manager, you will transform raw data into trusted scalable systems. Your role involves guiding a growing team, designing scalable pipelines, and partnering with cross-functional teams such as engineers, analysts, data scientists, and business leaders.

Key Responsibilities

  • Mentor and guide the team through hands-on engineering work, architecture design, code reviews, and incident resolution.
  • Develop and maintain well-governed, trusted data products following a 'data as a product' philosophy.
  • Lead the design, development, and scaling of modern data pipelines and models for analytics and operational use cases.
  • Define and enforce best practices for data modeling, pipeline architecture, testing, and documentation.
  • Manage SLAs for production data systems ensuring quality, reliability, and incident response readiness.
  • Design processes for data lineage, observability, and compliance in collaboration with key stakeholders.
  • Collaborate with engineering, product analytics, and business teams to gather requirements and deliver integrated solutions.
  • Enhance the internal developer experience through tooling, automation, and robust documentation.
  • Foster a diverse, inclusive, and fun culture consistent with Yelp’s values.

Qualifications

  • Experience in data engineering or backend development with strong data modeling skills.
  • Proven leadership and mentorship ability in data engineering teams.
  • Advanced proficiency in SQL, Python, and tools like dbt, Airflow, Snowflake, and similar technologies.
  • Strong background in cloud-native solutions (AWS, GCP, or Azure) and workflow orchestration tools.
  • Familiarity with batch and real-time processing frameworks is a plus.
  • A Bachelor’s Degree or equivalent work experience.

Compensation and Benefits

Compensation ranges from $182,000 to $312,000 annually, with additional bonus, RSUs, and benefits. This opportunity is fully remote across the US.

Inclusion & Equal Opportunity

Yelp is committed to fostering diversity and is an equal opportunity employer. We provide accommodations for applicants with disabilities.

Key skills/competency

  • Data Engineering
  • Data Modeling
  • Team Leadership
  • Pipeline Design
  • Python
  • SQL
  • Cloud Computing
  • Architecture
  • Data Quality
  • Collaboration

How to Get Hired at Yelp

🎯 Tips for Getting Hired

  • Research Yelp's culture: Understand their values and engineering approach.
  • Customize your resume: Highlight data engineering and leadership skills.
  • Prepare examples: Demonstrate scalable pipeline successes.
  • Showcase collaboration: Emphasize cross-functional experience.

📝 Interview Preparation Advice

Technical Preparation

Review modern data pipeline architectures.
Brush up on SQL and Python coding.
Study cloud-native platforms like AWS.
Practice troubleshooting and performance tuning.

Behavioral Questions

Discuss a team mentorship challenge.
Explain a cross-functional collaboration experience.
Share an example of incident resolution.
Describe adapting to evolving project goals.

Frequently Asked Questions