Senior Data Engineer
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Job Description
Senior Data Engineer building resilient data pipelines for Verantos's high-accuracy RWE generation platform. Leading data architecture and collaborating with cross-functional teams in a 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 surface issues without requiring manual intervention to run.
- Contribute to quarterly data product releases, working closely with product, clinical, customer success teams to meet commitments.
- Build data quality tests that reflect the evolving needs of our downstream consumers.
- Mentor and elevate other data engineers through code review, architecture decisions, and shared standards.
- Actively use and advocate for AI tools that improve the team's development velocity and code quality.
Requirements:
- 8+ years in data engineering, with experience at a technical lead level.
- Production experience with Snowflake and dbt as primary data platform tools.
- 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.
- Can engage meaningfully with the business and domain context around the data, not just the engineering.
- 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.
- Communicates clearly and works well across engineering, product, and clinical stakeholders.
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