About Certify:
At CertifyOS, we're building the infrastructure that powers the next generation of provider data products, making healthcare more efficient, accessible, and innovative. Our platform is the ultimate source of truth for provider data, offering unparalleled ease and trust while making data easily accessible and actionable for the entire healthcare ecosystem.
What sets us apart Our cutting-edge, API-first, UI-agnostic, end-to-end provider network management platform automates licensing, enrollment, credentialing, and network monitoring like never before. With direct integrations into hundreds of primary sources, we have an unbeatable advantage in enhancing visibility into the entire provider network management process. Plus, our team brings over 25+ years of combined experience building provider data systems at Oscar Health, and we're backed by top-tier VC firms who share our bold vision of creating a one-of-a-kind healthcare cloud that eliminates friction surrounding provider data.
But it's not just about the technology; it's about the people behind it. At Certify, we foster a meritocratic environment where every voice is heard, valued, and celebrated. We're founded on the principles of trust, transparency, and accountability, and we're not afraid to challenge the status quo at every turn. We're looking for purpose-driven individuals like you to join us on this exhilarating ride as we redefine healthcare data infrastructure.
As a Senior Data Engineer, you'll play a key role in helping design and build the data pipeline that runs our products and business. If you want to have a hand in influencing the overall architecture, tools, and services of our ETL with a collaborative team, then this role is for you.
What you'll do:
- Implement scalable, fault-tolerant, and accurate ETL frameworks
- Gather and process raw data at scale from diverse sources
- Implement and maintain a high level of data quality monitoring in our analytics
- Provide technical leadership through code reviews and mentorship for junior team members in data engineering best practices
- Contribute to agile team rituals and processes (stand-ups, groomings, planning meetings)
- Help identify high-value opportunity areas for the team and guide their implementation
What you'll need:
- 5+ years as a date engineer implementing data pipelines and improving the performance of ETL processes and SQL queries
- Experience with Cloud Platform Services (AWS, GCP, or Azure), GCP preferred
- Experience with database design
- Experience with Relational and NoSQL databases
- Embracive culture of alerting and monitoring
- Familiarity deploying applications using containers
- Strong written and verbal communication skills
- Willingness to participate in an on-call rotation
- Experience building screen scrapers is a plus
Bonus points if you:
- Built internal frameworks or development productivity tools
- Application development experience
- Have experience with a microservices architecture
- Developed in environments with large amounts of data
- Experience in healthcare and working with PII
- Did pair programming with other developers
Technologies/Tools:
- Google Cloud Platform
- NextJS and NestJS frameworks
- NodeJS and Typescript
- React and Redux
- Jest and Cypress
- Auth0
- Git and GitHub
- Sentry
- Snyk
- Jira
- Slack
- Java is a plus
At Certify, we're committed to creating an inclusive workplace where everyone feels valued and supported. As an equal opportunity employer, we celebrate diversity and warmly invite applicants from all backgrounds to join our vibrant community.
