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Healthcare should work for patients, but it doesn’t. In their time of need, they call down outdated insurance directories.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 17 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 Data Engineer to join our Data Pipeline Team within the Data Engineering (DE) organization! In this role, you will design, build, and optimize scalable data pipelines that enable seamless data ingestion, transformation, and delivery across the organization. You will work closely with internal product teams, external vendors, and analytics engineers to ensure high-quality, timely data availability that supports analytics, reporting, and machine learning initiatives.
The Data Pipeline Team is responsible for integrating diverse data sources, managing ingestion workflows, and ensuring data consistency across different environments (PHI, non-PHI). This role offers a great opportunity to work on high-impact data workflows while enhancing data quality, governance, and infrastructure.
You’ll Enjoy This Role If You Are…
- Passionate about building and maintaining reliable data pipelines at scale.
- Excited about working with large, complex datasets from multiple sources, including internal applications and third-party vendors.
- Interested in optimizing data ingestion and transformation workflows using modern ETL/ELT tools.
- Eager to collaborate with cross-functional teams to improve data accessibility and reliability.
- Proactive in automating and streamlining manual data processes.
Your Day-to-Day Responsibilities...
- Build and maintain ETL/ELT pipelines that ingest, transform, and deliver data to Snowflake and the data lake.
- Develop scalable data workflows using PySpark, SQL, and modern ETL tools like Stitch, Fivetran, and DBT.
- Optimize data ingestion processes to ensure efficiency, reliability, and minimal downtime.
- Ensure data quality and integrity by implementing validation frameworks, schema enforcement, and monitoring tools.
- Manage ingestion workflows for PHI, non-PHI, and DEID environments, ensuring compliance and governance.
- Collaborate with analytics engineers and product teams to standardize data ingestion practices and improve data transparency.
- Monitor pipeline performance, troubleshoot failures, and continuously improve data processing efficiencies.
- Document best practices and contribute to onboarding materials for data ingestion.
You’ll Be Successful in This Role If You Have…
- 2+ years of experience in data engineering or a related field, with hands-on experience in ETL/ELT pipeline development.
- Proficiency in Python (PySpark) and SQL for large-scale data processing.
- Experience with Snowflake or other cloud data warehouses, including performance optimization techniques.
- Familiarity with ETL/ELT tools like Stitch, Fivetran, DBT, Airflow, or Dagster.
- Experience working with cloud platforms, particularly AWS (S3, Glue, Lambda, Athena).
- Understanding of data governance, validation frameworks, and schema enforcement.
- Strong troubleshooting and debugging skills for resolving data pipeline failures.
- Ability to work collaboratively with data engineers, analytics teams, and product teams to design scalable solutions.
Benefits...
- An incredible team of smart and supportive people
- A competitive compensation package, including attractive medical insurance
- Amazing perks – think catered lunch every day, Ping Pong, etc.
- Daycare/creche facility for kids
- The chance to create a better healthcare experience for millions of patients!
- Corporate wellness programs with Headspace
- Cellphone and wifi reimbursement
- Competitive parental leave
- Sabbatical leave (over 5 years)
- Annual sponsored health check-ups
- Zocdoc is certified as a Great Place to Work 2024-2025
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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