Verantos

Senior Data Engineer

Remote (U.S · Senior

Sponsorship not specified$150k-$220kDetected 46 days ago

PythonCode ReviewSnowflakeAWSdbtData EngineeringData ScienceCustomer SuccessHL7/FHIREHR/EMR

About the role

Verantos is the market leader in high-accuracy real-world evidence (RWE) generation.
The Verantos RWE platform integrates heterogeneous real-world data sources and generates evidence with the accuracy necessary for regulatory and reimbursement use.
The platform leverages data science and artificial intelligence, along with advanced data sources such as electronic health records (EHR), to generate RWE capable of supporting complex clinical studies.

Lead the design and evolution of the data platform architecture, establishing patterns and standards the team builds on.
Build and operate production-grade data pipelines that ingest and transform high-variance, real-world clinical data reliably and at scale.
Design for automation from the start: pipelines that detect problems, recover gracefully, and surface issues without requiring manual intervention to run.
Build data quality tests that reflect the evolving needs of our downstream consumers.
We need a Senior Data Engineer who knows how to build pipelines that handle that chaos gracefully, not one who fights fires every time something unexpected arrives.
Our teams are cross-functional and collaborative, bringing together engineering, product, design, QA, and clinical domain experts to deliver meaningful, real-world impact.

Production experience with Snowflake and dbt as primary data platform tools.
8+ years in data engineering, with experience at a technical lead level.
Strong Python skills for building and maintaining data pipelines.
Has built resilient pipelines on irregular, high-variance data sources and knows what it takes to keep them running without babysitting.
Thinks in systems: designs for observability, failure recovery, and automation.
Uses AI tools actively in their own work and is curious about applying them within the pipeline, particularly for data quality monitoring and anomaly detection at scale.

Familiarity with OMOP CDM - not required, but it matters here more than most places.
Experience with EHR data or other clinical datasets.
Experience with data observability tooling in production environments.

Can engage meaningfully with the business and domain context around the data, not just the engineering.
Communicates clearly and works well across engineering, product, and clinical stakeholders.

The base salary range for this position is $150,000-$220,000, depending on experience.

This listing is sourced directly from Verantos's careers page and normalized into a canonical job model.