Senior Data Engineer

Your Impact on our Mission:

We are looking for a Senior Data Engineer (SDE) to join our Data Engineering team! In this role, you will design, build, and optimize scalable data systems that empower decision-making and innovation at Zocdoc. You will collaborate with cross-functional teams to manage data pipelines, improve governance, and enhance the tools and processes that enable data producers and consumers to work together effectively. This role offers a unique opportunity to shape data workflows while exploring platform-oriented challenges such as data contracts, validation frameworks, and governance tools—all with the goal of improving the healthcare experience for patients and providers.

You’ll enjoy this role if you are…

• Passionate about working at the intersection of data engineering and platform development
• Excited to tackle both technical and strategic challenges to build reliable, scalable systems
• Motivated to collaborate with product teams, data producers, and consumers to simplify data workflows and improve quality
• Energized by the opportunity to build tools and processes that directly improve patient and provider experiences through better data
• Autonomous, proactive, and eager to solve complex problems with practical, scalable solutions

Your day to day is…

• Designing and maintaining scalable data pipelines for ingestion, transformation, and delivery across multiple data sources
• Collaborating with Analytics Engineers and Product teams to curate datasets and establish data contracts that improve transparency and reliability
• Developing and managing modern data architectures, such as lakehouses and medallion layers, using tools like Databricks, Delta Lake, or Iceberg
• Optimizing Snowflake usage and performance, ensuring data quality and cost efficiency
• Supporting data governance initiatives by implementing validation mechanisms, managing metadata, and maintaining schema consistency
• Building frameworks and tools that empower data producers to maintain high data quality while simplifying the workflows for data consumers
• Proactively monitoring and improving the performance of data workflows, reducing bottlenecks, and ensuring reliability at scale

You’ll be successful in this role if you have…     

• 5+ years of professional experience in data engineering, software engineering, or a related field
• Expertise in Python or Scala, and strong proficiency in SQL for data modeling and optimization
• Hands-on experience with cloud data warehouses like Snowflake, and knowledge of optimization strategies such as clustering and query tuning
• Familiarity with modern orchestration tools like Airflow or Dagster for managing complex workflows
• Experience with advanced data architectures, such as lakehouses, medallion architectures, and tools like Delta Lake or Iceberg tables
• Proven ability to design and implement scalable ETL pipelines using technologies like dbt for transformation and Databricks for large-scale processing
• Exposure to or interest in data platform concepts, such as building data contracts, governance frameworks, and validation tools
• Excellent problem-solving skills, with an ability to balance innovation with practical implementation
• Strong communication skills and the ability to work independently to gather requirements and align cross-functional stakeholders
• Knowledge of cloud ecosystems, especially AWS, is a plus

Benefits:

• Flexible, hybrid work environment
• Unlimited PTO 
• 100% paid employee health benefit options
• Employer funded 401(k) match
• Corporate wellness programs with Headspace and Peloton
• Sabbatical leave (for employees with 5+ years of service)
• Competitive parental leave
• Cell phone reimbursement
• In office perks including:
• Catered lunch everyday along with snacks
• Commuter Benefits
• Convenient Soho location
• Great Place to Work Certified