At Zocdoc, our mission is to give power to the patient. We are looking for a Staff Software Engineer to join our Data Engineering team and lead the Data Infrastructure group. In this role, you will be responsible for designing, building, and optimizing the scalable data systems that empower decision-making and innovation across the company.
What You'll Do
- Design and maintain scalable data pipelines for ingestion, transformation, and delivery across multiple data sources.
- Collaborate with Analytics Engineers and Product teams to curate datasets and establish data contracts that improve transparency and reliability.
- Develop and manage modern data architectures, such as lakehouses and medallion layers, using tools like Databricks, Delta Lake, or Iceberg.
- Optimize Snowflake usage and performance, ensuring data quality and cost efficiency.
- Support and scale orchestration platforms, metadata systems, and monitoring tools.
- Collaborate with data engineering, analytics engineering, and security teams to deliver stable and efficient infrastructure for diverse workflows.
- Build tools, alerting systems, and documentation that ensure reliable operation and developer self-service across our data stack.
What We're Looking For
- 8+ years of experience in data engineering or platform/infrastructure roles, with a focus on scaling tools and systems.
- Expertise in Python or Scala, and strong proficiency in SQL for data modeling and optimization.
- Deep experience with data warehouse technologies like Snowflake, including clustering, performance tuning, query profiling, and access management.
- Experience with data lake and lakehouse architectures such as Databricks, Delta Lake, Iceberg, or Apache Hudi, and query engines like Athena or Presto.
- Proven ability to design and implement scalable ETL pipelines using technologies like dbt for transformation and Databricks for large-scale processing.
- Familiarity with managing infrastructure-as-code, job orchestration, and CI/CD workflows.
- A proactive mindset and strong problem-solving skills, especially when troubleshooting complex infrastructure issues.
- Excellent collaboration and communication skills to support cross-functional teams and data consumers.
Nice to Have
- Experience implementing row-level security and data masking for PHI/PII use cases.
- Exposure to governance tools like Collibra, Amplitude, Looker admin, or Unity Catalog.
- Familiarity with AWS services, especially for storage and compute cost optimization.
Technical Stack
- Languages: Python, Scala, SQL
- Warehouse & Lakehouse: Snowflake, Databricks, Delta Lake, Iceberg, Apache Hudi
- Query Engines: Athena, Presto
- Transformation & Orchestration: dbt, Dagster, Airflow
- Governance & Monitoring: Unity Catalog, Collibra, Datadog
- Cloud: AWS
Team & Environment
You will lead the specialized Data Infrastructure group within the Data Engineering team, working alongside deeply thoughtful, driven, and collaborative teammates dedicated to building diverse teams.
Benefits & Compensation
- Compensation: $180,000—$275,000 USD
- Flexible work environment
- Unlimited Vacation
- 100% paid employee health benefit options (including medical, dental, and vision)
- Commuter Benefits
- 401(k) with employer funded match
- Corporate wellness program with Wellhub
- Sabbatical leave (for employees with 5+ years of service)
- Competitive paid parental leave and fertility/family planning reimbursement
- Cell phone reimbursement
- Catered lunch everyday along with beverages and snacks
- Employee Resource Groups and ZocClubs to promote shared community and belonging
We’re an equal opportunity employer committed to providing employees with a work environment free of discrimination and harassment. Applicants are considered for employment regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity, gender expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or any other class protected by applicable laws.
