Staff Data Platform Engineer

About the role

About CertifyOS

CertifyOS is building the data infrastructure that powers modern healthcare.

Today, healthcare organizations rely on fragmented and outdated provider data. This creates unnecessary administrative work, regulatory risk, and higher costs across the system. We’re solving that problem.

Our API-first platform automates provider licensing, enrollment, credentialing, and network monitoring by connecting directly to hundreds of primary data sources. We help healthcare organizations maintain accurate, compliant, and reliable provider networks at scale.

Our vision is simple: One API. One provider ID. Frictionless provider data.

We’re backed by leading investors and built by a team with deep experience in provider data systems. At CertifyOS, we value authenticity, accountability, collaboration, results, and openness to feedback. We’re building a high-ownership team focused on solving real infrastructure problems that impact millions of patients.

ABOUT THE ROLE

We're hiring a Staff Data Platform Engineer to own the data platform that makes CertifyOS the source of truth for provider data. You'll set the architecture, lead a team of engineers to deliver it, and be accountable for the reliability, freshness, and cost of our data.

WHAT YOU’LL DO

- Lead a team of engineers to deliver data platform initiatives end to end

- Own data architecture across OLTP, OLAP, and NoSQL stores (Aurora PostgreSQL, Redshift, MongoDB)

- Design and operate distributed real-time and batch pipelines in Python and PySpark (Kafka, Kinesis, SNS/SQS)

- Lead entity resolution and MDM architecture for provider data

- Build and own data products with clear contracts, SLAs, and consumers

- Be accountable for data reliability, freshness, quality, and cost, with the observability to prove it

- Drive performance and scale work: profile, benchmark, and re-architect as volume grows

- Build the data foundations for AI/ML workloads

- Mentor engineers, raise the bar on design and code review, and partner with product, analytics, and ML

- Join the on-call rotation and turn incidents into systemic fixes

WHAT WE’RE LOOKING FOR

- 10+ years building production data systems, including Staff or Tech Lead scope

- Led a team of engineers to deliver complex data systems

- Expert Python and production PySpark

- Deep distributed systems knowledge: consistency, partitioning, idempotency, backpressure, failure handling

- Significant entity resolution and MDM experience: matching, deduplication, survivorship, golden records at scale

- Built and owned data products used by other teams

- Shipped measurable performance and scale improvements

- Expertise across OLTP (Aurora, PostgreSQL, MySQL), OLAP (Redshift, Athena, Snowflake, ClickHouse), and NoSQL (MongoDB, DynamoDB, Cassandra)