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Today, healthcare organizations rely on fragmented and outdated provider data.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)

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)

Nice to Have

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

Technologies & Tools

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, we’re 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 recharge. In India, employees are supported with health insurance, statutory leave benefits, and additional wellness (menstrual) leave for women.