Verantos
Healthcare
SeniorDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer at Verantos. Skills: Data engineering, Data pipelines, System automation. Lead data platform architecture design. Establish patterns and standards”
What You'll Achieve.
Ship data product quarterly
Industry & Context.
Systems thinking
What They're Looking For.
Must Have
8+ years in data engineering, Technical lead experience, Production experience with Snowflake, Production experience with dbt, Python skills, Resilient pipelines experience, Observability design, Failure recovery design, Automation design, Business context understanding, Clear communication, Works well across teams
Nice to Have
Familiarity with OMOP CDM, Experience with EHR data, Experience with HL7, Experience with FHIR, Experience with data observability tooling
What You'll Do.
Lead data platform architecture design
Establish patterns and standards
Build production-grade data pipelines
Transform high-variance data
Ingest high-variance data
Design for automation
Detect pipeline problems
Recover pipeline failures
Surface pipeline issues
Contribute to data product releases
Build data quality tests
Mentor other data engineers
Elevate other data engineers
Advocate for AI tools
How You'll Work.
Team & Collaboration
Cross-functional teams; Engineering; Product; Design; QA; Clinical domain experts; Product teams; Clinical teams; Customer success teams
Communication Scope
Communicate clearly
Process & Methodology
Quarterly releases
Full Job Description
Overview 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. Some of the largest biopharma companies in the world are Verantos customers. We use a heterogeneous AWS-centric tech stack with data processing, AI, workflows, and analytics. Our teams are cross-functional and collaborative, bringing together engineering, product, design, QA, and clinical domain experts to deliver meaningful, real-world impact. Job Description The data that powers Verantos's evidence platform comes from real-world clinical systems — messy, inconsistent, and constantly changing. 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. This is a senior role on the team responsible for shipping our data product every quarter. You will set the technical direction for how we ingest, transform, and quality-check data at scale, with an eye toward systems that run themselves. Just as important is the ability to think beyond the pipeline: the best candidate understands what the data means to the researchers who depend on it, and brings that perspective into the engineering decisions they make. This is a fully remote, US-based role. Responsibilities 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 surf
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