Base: $211,100 - $285,000 usd; bonus/equity: not s...
On-site
Design and maintain scalable data pipelines
Modern data architectures (lakehouses, medallion layers)
Optimize snowflake usage and performance
This role leads our specialized Data Infrastructure group, which is responsible for building, maintaining, and optimizing the platforms that power data workflows across the company
Job Summary
This role leads our specialized Data Infrastructure group, which is responsible for building, maintaining, and optimizing the platforms that power data workflows across the company.
You’ll focus on the underlying infrastructure that supports analytics, experimentation, and machine learning—ensuring it runs efficiently, securely, and cost-effectively to improve the healthcare experience for patients and providers.
Zocdoc is committed to fair and equitable compensation practices, with a base salary range of $211,100 to $285,000 USD for this role in Silicon Valley, CA.
Matching Summary
This role leads our specialized Data Infrastructure group, which is responsible for building, maintaining, and optimizing the platforms that power data workflows across the company.
Salary
Base: $211,100 - $285,000 USD; Bonus/Equity: Not specified; Benefits: 100% paid employee health benefit options, Unlimited Vacation, 401(k) with match, Sabbatical leave, Paid parental leave
Skills & Requirements
Must-have
Design and maintain scalable data pipelines
Modern data architectures (lakehouses, medallion layers)
Optimize Snowflake usage and performance
ETL pipelines using dbt and Databricks
Infrastructure-as-code and job orchestration
Nice-to-have
Improve patient and provider experiences
Collaborative and driven teammates
Autonomous and proactive problem-solving
Row-level security and data masking
AWS services for cost optimization
Key Requirements
8+ years of experience in data engineering or platform/infrastructure roles
Expertise in Python or Scala, and strong proficiency in SQL
Deep experience with data warehouse technologies like Snowflake
Experience with data lake and lakehouse architectures
Familiarity with managing infrastructure-as-code, job orchestration, and CI/CD workflows