Our Mission Healthcare should work for patients, but it doesn’t. In their time of need, they call down outdated insurance directories.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 Zocdoc is seeking a Staff Analytics Engineer to join a centralized team responsible for defining, creating, and maintaining a scalable and robust analytics layer that powers Zocdoc’s strategic analytics, operations, and reporting capabilities. As a Staff-level member, you'll lead the design and implementation of complex data transformations and production-grade data models, establishing standardized datasets that drive critical decision-making across the organization.

Collaborating closely with Product Management, Product Engineering, Data Engineering, and Analytics teams, you'll ensure data solutions are strategically aligned, efficient, and consistently reliable, enabling teams across Zocdoc to rapidly gain meaningful insights from high-quality data.

Requirements

and is robust and maintainable Architecting and developing production-grade data transformations and models using SQL, DBT, and Dagster, ensuring optimal performance, maintainability, scalability, and reliability Collaborating closely with data engineering on strategic infrastructure initiatives to enhance data ingestion, processing pipelines, and integration of new data sources Driving the establishment and continuous improvement of standards around data governance, security, privacy, quality, and retention, influencing best practices across the organization You’ll be successful in this role if you have… 6+ years of experience as an analytics engineer, data engineer, or similar role 3+ years of experience using DBT DBT Core, with a strong understanding of data modeling and data warehousing concepts Expertise in writing performant SQL, especially within cloud-based data warehouses like