Staff Data Platform Engineer
Department:
Job Summary
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Today healthcare organizations rely on fragmented and outdated provider data.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. Were 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.
Were 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. Were building a high-ownership team focused on solving real infrastructure problems that impact millions of patients.
Were hiring a Staff Data Platform Engineer to own the data platform that makes CertifyOS the source of truth for provider data. Youll set the architecture lead a team of engineers to deliver it and be accountable for the reliability freshness and cost of our data.
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
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)
Stream processing and event-driven architecture (Kafka Kinesis SNS/SQS)
Data observability in practice: quality checks lineage monitoring alerting
Built data platforms that serve ML workloads
Influences technical direction across teams and communicates clearly with non-technical stakeholders
Experience handling sensitive data (PII/PHI)
Fluent with AI-assisted development (Cursor Claude Code MCP)
Change Data Capture (CDC) patterns
Data mesh or data-platform-as-a-product approaches
Schema registries or data catalogs
Orchestration tools (AWS Glue EMR Managed Flink Airflow/MWAA dbt)
Healthcare or other regulated environments
OLTP: Aurora RDS PostgreSQL
OLAP: Redshift Athena
NoSQL: MongoDB Atlas
Streaming: Kafka (MSK) Kinesis SNS/SQS
Python and PySpark
AWS Docker Kubernetes (EKS)
GitHub Actions
Sentry and data observability tooling
Cursor Claude Code Codex
Benefits of Working at Certify
At Certify were building with intention and taking care of the people doing the work.
Your well-being matters to us. We provide 100% coverage of health dental and vision insurance premiums for employees. Our US-based team benefits from unlimited PTO with at least two weeks off each year to India employees are supported with health insurance statutory leave benefits and additional wellness (menstrual) leave for women.
We are an equal opportunity employer committed to building an inclusive environment where everyone feels valued and empowered to do their best work and we welcome applicants from all backgrounds and experiences.
If you require reasonable accommodations during the application process please contact
We are also committed to pay transparency and foster an open culture where compensation conversations are encouraged and respected.
Required Experience:
Staff IC