Data Engineering Manager @ Yelp
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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.