Senior Software Engineer (Data)

• 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 into products and operational systems, with monitoring, lineage, and clear ownership
• Design and operate reverse ETL and data activation paths that move curated warehouse or lakehouse data into products and operational systems, with monitoring, lineage, and clear ownership
• Build compliance capabilities into the platform, including data classification, deletion and masking workflows, access controls, audit trails, and policy enforcement
• Write infrastructure as code, operate platform services in AWS, and improve service-level indicators, alerts, dashboards, runbooks, and on-call response
• Partner with internal users, document supported workflows, review designs and code, and help teammates build systems that other teams can adopt

Benefits

• 100% paid employee health benefit options
• Vacation and parental leave packages
• Lunch and snacks on us (in-office)
• Cell phone reimbursement
• Corporate wellness programs with Headspace and Peloton
• Employer funded 401(k) match- Experience with distributed or event-driven systems, including delivery guarantees, idempotency, retries, ordering, dead-letter handling, and operational failure modes, plus hands-on work with Kafka or a comparable platform and a schema technology such as Avro, Protobuf, JSON Schema, or OpenAPI
• Strong programming skills in Python, practical experience with SQL, and experience with at least one statically typed language such as C#, Java, Kotlin, or TypeScript
• A record of building APIs, SDKs, shared libraries, data contract systems, or event publishing frameworks used outside your team, with a solid understanding of schema design, versioning, validation, code generation, and migrations
• 5+ years of professional software engineering experience, including meaningful work on backend, platform, developer infrastructure, or data-intensive systems
• Experience operating cloud services with automated testing, continuous delivery, observability, infrastructure as code, and incident response, plus familiarity with warehouse or lakehouse platforms such as Snowflake, Databricks, or Iceberg
• Bonus points if you have built software in a regulated environment and understand practical controls for PHI or PII, including access, deletion, de-identification, lineage, and auditing