Verantos

Healthcare

SeniorDataEngineer

$150–220k Menlo Park, California, United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Healthcare
Problems you'll solve

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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