Senior Data Engineer

Role Overview

Verantos is the market leader in high-accuracy real-world evidence (RWE) generation. The company uses a heterogeneous AWS-centric tech stack and needs a Senior Data Engineer to build pipelines that handle real-world clinical data. The role is fully remote and US-based.

What You Will Do

Design and evolve the data platform architecture, build and operate production-grade data pipelines, and contribute to quarterly data product releases. The role also involves mentoring other data engineers and actively using AI tools to improve development velocity and code quality.

Why It Might Be a Fit

The ideal candidate has 8+ years of experience in data engineering, production experience with Snowflake and dbt, and strong Python skills. They should think in systems, design for automation, and engage meaningfully with the business and domain context around the data.

Requirements

• 8+ years in data engineering
• Production experience with Snowflake and dbt
• Strong Python skills
• Experience with building resilient pipelines on irregular, high-variance data sources
• Ability to think in systems and design for automation
• Engagement with business and domain context around the data
• Active use of AI tools in their own work

Benefits

• Base salary range: $150,000–$220,000