Staff Software Engineer, Data
About The Position
We are looking for a Staff Software Engineer (SSE) 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’ll collaborate with cross-functional teams to manage data pipelines, strengthen governance, and improve the tools and processes that help data producers and consumers work together effectively. 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.
Requirements
- 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 (Dagster, Airflow), 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 Haves
- Experience implementing row-level security and data masking for PHI/PII use cases
- Exposure to governance tools (e.g., Collibra, Amplitude, Looker admin, Unity Catalog)
- Familiarity with AWS services, especially for storage and compute cost optimization
Responsibilities
- 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 and scaling orchestration platforms (like Dagster), metadata systems (like Unity Catalog or Collibra), and monitoring tools (like Datadog)
- Collaborating with data engineering, analytics engineering, and security teams to deliver stable and efficient infrastructure for diverse workflows
- Building tools, alerting systems, and documentation that ensure reliable operation and developer self-service across our data stack
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees
