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Jobs(38,923)/Senior Data Engineer Role(351)/Verantos (2) - Senior Data Engineer
Verantos

Verantos - Senior Data Engineer

Remote - USA$150k - $220k2w ago
RemoteSeniorNAData AnalyticsOil & GasSenior Data EngineerSnowflakedbtPythonData QualityCustomer Success

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. • Familiarity with OMOP CDM — not required, but it matters here more than most places. • Experience with EHR data or other clinical datasets. • Familiarity with other healthcare data standards such as HL7 or FHIR. • Experience with data observability tooling in production environments.

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.

Benefits

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

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