Staff Software Engineer, Data

Confirmed live in the last 24 hours

Zocdoc

Compensation

$211,100 - $285,000/year

Silicon Valley, CA

On-site

Posted April 1, 2026

Job Description

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Healthcare should work for patients, but it doesn’t. In their time of need, they call down outdated insurance directories.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 are looking for a Staff Software Engineer (SSE) to join our Data Engineering team! In this role, you will design, build, and optimize scalable data systems that empower decision-making and innovation at Zocdoc. You’ll collaborate with cross-functional teams to manage data pipelines, strengthen governance, and improve the tools and processes that help data producers and consumers work together effectively. This role leads our specialized Data Infrastructure group, which is responsible for building, maintaining, and optimizing the platforms that power data workflows across the company. You’ll focus on the underlying infrastructure that supports analytics, experimentation, and machine learning—ensuring it runs efficiently, securely, and cost-effectively to improve the healthcare experience for patients and providers.

You’ll enjoy this role if you are…

Passionate about the inner workings of data platforms and infrastructure
Excited to tackle both technical and strategic challenges to build reliable, scalable systems
Motivated to create high-leverage tools that power analytics and data science
Energized by the opportunity to build tools and processes that directly improve patient and provider experiences through better data
Autonomous, proactive, and eager to solve complex problems with practical, scalable solutions

Your day to day is…

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

You’ll be successful in this role if you have…

8+ years of experience in data engineering or platform/infrastructure roles, with a focus on scaling tools and systems
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 pro

pythongoawsmachine learningaidataanalyticsproductdesign