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Senior Data Engineer, Data Infrastructure

Zocdoc

$152,000 - $228,000
Aug 28, 2025
New York, NY, US
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Zocdoc is looking to improve the healthcare experience for patients and providers by building reliable, scalable, and cost-effective data systems.

Requirements

  • 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
  • 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)

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

Other

  • 5+ years of experience in data engineering or platform/infrastructure roles, with a focus on scaling tools and systems
  • Autonomous, proactive, and eager to solve complex problems with practical, scalable solutions
  • Excellent collaboration and communication skills to support cross-functional teams and data consumers
  • Unlimited PTO
  • 100% paid employee health benefit options
  • Employer funded 401(k) match
  • Corporate wellness programs with Headspace and Peloton
  • Parental leave
  • Cell Phone reimbursement
  • Commuter Benefits
  • Catered lunch everyday along with snacks (when back in office)
  • Convenient Soho location