Staff Software Engineer, Data Platform
$180k - $275k USD
Our Mission
Healthcare should work for patients, but it doesn’t. In their time of need, they call down outdated insurance directories. Then wait on hold. Then wait weeks for the privilege of a visit. Then wait in a room solely designed for waiting. Then wait for a surprise bill. In any other consumer industry, the companies delivering such a poor customer experience would not survive. But in healthcare, patients lack market power. Which means they are expected to accept the unacceptable.
Zocdoc’s mission is to give power to the patient. To do that, we’ve built the leading healthcare marketplace that makes it easy to find and book in-person or virtual care in all 50 states, across +200 specialties and +12k insurance plans. By giving patients the ability to see and choose, we give them power. In doing so, we can make healthcare work like every other consumer sector, where businesses compete for customers, not the other way around. In time, this will drive quality up and prices down.
We’re 18 years old and the leader in our space, but we are still just getting started. If you like solving important, complex problems alongside deeply thoughtful, driven, and collaborative teammates, read on.
Your Impact on our Mission:
We’re hiring a Staff Software Engineer (Data Platform) to define and lead the evolution of Zocdoc’s data platform at the intersection of data engineering and product engineering.
This role owns how data moves into, across, and out of our lakehouse and warehouse ecosystems. You’ll shape the contracts, access patterns, APIs, governance controls, and interoperability standards that enable teams to reliably produce and consume data at scale.
Unlike a traditional data engineering role, this position is focused on platform experience and data product design — building the frameworks, contracts, and service interfaces that make data trustworthy, compliant, and easy to use across both technical and non-technical stakeholders.
You will define how:
- Product teams publish high-quality, validated data into the platform
- Analytics and ML teams consume governed datasets with confidence
- Reverse ETL and activation patterns safely operationalize data back into product systems
- Access control, compliance, and governance are embedded into platform design by default
This is a highly cross-functional leadership role requiring deep data engineering expertise, strong product thinking, and the ability to influence standards across the organization.
You’ll enjoy this role if you are…
- Passionate about designing data contracts and producer/consumer interfaces, not just pipelines.
- Excited to build APIs, SDKs, and shared packages that product engineers adopt.
- Motivated to define clear access patterns across warehouse, lakehouse, and downstream systems.
- Energized by solving governance, schema evolution, and compliance challenges at scale.
- Comfortable setting long-term architectural direction while still diving into implementation details.
- Experienced in building a data product used broadly across both technical and non-technical stakeholders.
- Excited about leveraging AI-assisted and agentic workflows to multiply engineering productivity.
- Thoughtful about the guardrails, access controls, and governance required when enabling GenAI systems to interact with sensitive data.
Your day to day is…
- Defining and evolving data contract standards across the company, including schema enforcement, versioning, and validation patterns.
- Designing interoperable ingestion and publishing frameworks that enable upstream producers (e.g., product engineering teams) to integrate seamlessly with the data platform.
- Building and standardizing APIs, libraries, or SDKs that simplify event logging, schema validation, and contract compliance.
- Establishing best practices for schema registry usage and distributed schema validation across streaming and batch systems (e.g., Kafka-based systems).
- Designing clear patterns for:
- When to use the data lake vs. the warehouse
- How curated layers are exposed
- How downstream consumers access data safely
- Leading reverse ETL and activation architecture to support operational use cases.
- Defining and enforcing access control, governance, and compliance standards (e.g., PHI/PII handling, DEID boundaries, RBAC).
- Partnering with Product Engineering, Security, Compliance, Analytics Engineering, and Infrastructure to align on standards and long-term direction.
- Mentoring engineers and influencing engineering culture around data quality, ownership, and contracts.
- Driving adoption of AI-assisted development practices (e.g., cloud-based coding environments, internal AI tooling, or agentic workflows) to accelerate platform delivery.
- Designing guardrails for AI access to data systems, including scoped permissions, auditing, and compliance-aware controls.
- Partnering with product and AI teams to ensure our data contracts, schemas, and curated layers are AI-consumable and safe by default.
- Evaluating how internal data platform assets can power AI use cases and intelligent automation across the company.
You’ll be successful in this role if you have…
- 8+ years of experience in data engineering, platform engineering, or backend platform development.
- Demonstrated experience designing data contracts, schema governance, or producer/consumer standards at scale.
- Strong expertise in Python and SQL, with hands-on experience building scalable data frameworks.
- Experience with distributed data systems such as Spark (Databricks or EMR) and modern lakehouse architectures (Delta Lake / Iceberg).
- Experience with data warehouses such as Snowflake and strong understanding of performance and access patterns.
- Familiarity with schema registry systems and schema evolution in streaming systems (e.g., Kafka).
- Experience building APIs, shared libraries, or platform services adopted by multiple teams.
- Strong understanding of access control, RBAC, and compliance constraints in regulated environments.
- Proven ability to lead cross-functional architectural initiatives across product, analytics, and infrastructure teams.
- Clear communication skills and a track record of influencing standards across an organization.
- Experience working with AI-assisted development tools or cloud-based coding environments (e.g., Claude Code, Codex, Cursor, internal code generation frameworks, or similar systems).
- Strong understanding of governance considerations for GenAI systems, including access control, prompt safety, sensitive data handling, and auditability.
- Perspective on how structured data models and contracts improve AI reliability and downstream automation.
Bonus if you have…
- Experience designing reverse ETL frameworks or operational activation pipelines.
- Familiarity with metadata and governance platforms (e.g., Unity Catalog, Collibra, OpenMetadata).
- Experience building internal developer platforms for event logging or data publishing.
- Experience working in regulated environments involving PHI/PII.
- Experience integrating streaming systems (Kafka/Kinesis) with warehouse and lakehouse ecosystems.
Benefits
- Flexible, hybrid work environment at our convenient Soho location
- 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
- Great Place to Work Certified
Zocdoc is committed to fair and equitable compensation practices. Salary ranges are determined through alignment with market data. Base salary offered is determined by a number of factors including the candidate’s experience, qualifications, and skills. Certain positions are also eligible for variable pay and/or equity; your recruiter will discuss the full compensation package details.
NYC Base Salary Range
$180,000—$275,000 USD
About us
Zocdoc is the country’s leading digital health marketplace that helps patients easily find and book the care they need. Each month, millions of patients use our free service to find nearby, in-network providers, compare choices based on verified patient reviews, and instantly book in-person or video visits online. Providers participate in Zocdoc’s Marketplace to reach new patients to grow their practice, fill their last-minute openings, and deliver a better healthcare experience. Founded in 2007 with a mission to give power to the patient, our work each day in pursuit of that mission is guided by our six core values. Zocdoc is a private company backed by some of the world’s leading investors, and we believe we’re still only scratching the surface of what we plan to accomplish.
Zocdoc is a mission-driven organization dedicated to building teams as diverse as the patients and providers we aim to serve. In the spirit of one of our core values - Together, Not Alone, we are a company that prides itself on being highly collaborative, and we believe that diverse perspectives, experiences and contributors make our community and our platform better. 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.
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