Senior Data Science Engineer I, Claims

remotesenior$170K – $190K

via Ashby

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About this role

This is a fully remote role within the United States. We’re looking for an experienced data engineering professional to join us in our mission to eliminate the financial complexity of healthcare. You'll join our Data Science Engineering team to own the data lifecycle of healthcare claims data including ELT/ETL, de-identification, PHI/PII reduction, data quality, observability, and integrations (e.g., APIs, web-optimized data stores). RESPONSIBILITIES - Build and maintain reliable data pipelines that process raw claims data from diverse sources to enriched, standardized formats using tools including Python, SQL, PostgreSQL, Trino, ClickHouse, Airflow, Datadog, and AWS cloud services - Build automated observability and monitoring into data quality…

Read the full description on Turquoise Health's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

Skills match

For this role: python, sql, postgresql, clickhouse, rds…

Level fit

This role is senior-level. We check your trajectory against it.

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

Location fit

This role is remote-eligible — we factor in your stated location and time-zone overlap.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonsqlpostgresqlclickhouserdsawsazuregcps3ec2datadogtrinoairflow

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