Senior Software Engineer (Data)

Company: Zocdoc

Location: New York, NY

Salary: $174k - $220k per year

Type: Full-time

Posted: 2026-10-11

About this role

  • Zocdoc is hiring a Senior Software Engineer to build the data platform that connects our products with analytics, machine learning, and operational systems
  • This role sits on the Data Engineering team at the boundary of backend engineering and data infrastructure
  • You will build APIs, libraries, schemas, services, and supported workflows that help engineers publish and use data safely
  • Your work will cover the path from source-defined contracts and validation through reliable event and batch delivery to data activation in products and business systems
  • You will help make quality, ownership, observability, and privacy part of the platform, while giving teams a clearer path to ship without depending on Data Engineering for every integration
  • Excited to build platform products for other engineers, turning ambiguous problems into practical APIs, SDKs, shared libraries, command-line tools, and services that you also help operate
  • Interested in the full lifecycle of data, including how it is defined at the source, evolves safely, reaches consumers, and is adopted without disruptive migrations
  • Motivated to build privacy, access control, and auditability into everyday engineering workflows rather than rely on manual review
  • Effective at working across product engineering, analytics engineering, data science, security, compliance, and infrastructure to agree on contracts and deliver shared solutions
  • Thoughtful about using AI-assisted development tools and rigorous about reviewing, testing, and maintaining the work they help produce
  • Design, build, and operate services and developer tooling that help engineering teams publish and consume trusted data, including contract workflows, APIs, SDKs, generated types, and validation tools
  • Improve event-driven data paths built on Kafka, Avro, and schema registries, with clear delivery semantics, compatibility rules, and safe schema evolution
  • Create reliable ways to move curated data from the warehouse or lakehouse int...

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