Data Engineer — Healthcare Analytics & AI Pipelines

Dover; New York (NY); Híbrido; USD 140.000 - 190.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Meaningful equity

Health coverage

Descripción de la vacante

Tono is building a fully autonomous specialty medicine clinic and is seeking a Data Engineer to own data pipelines, modeling, and analytics for a regulated healthcare environment. You will collaborate with engineers, physicians, and care coordinators to ensure high-quality data powering AI features and reporting.

Based in New York with hybrid work options, you’ll help scale data movement across EHR, patient portal, telehealth, and in-person clinics while maintaining strong data governance and

Formación

• 3+ years building and operating production data pipelines.
• Strong SQL and Python proficiency.
• Experience with a modern data stack (dbt, orchestrator, cloud warehouse).
• Solid relational DB fundamentals: schema design, migrations, performance (Postgres).
• Habit of testing and monitoring pipelines; reliable data.
• Ability to translate doctors/operators questions into datasets.
• Comfort in a fast-moving, cross-functional team.
• Nice to have: healthcare or regulated data experience.

Responsabilidades

• Build and maintain ingestion pipelines from multiple sources into a data warehouse.
• Model clean, well-tested datasets covering patient funnels, ops, scheduling, billing, revenue.
• Create datasets to support AI work: labeled data, evaluation sets, clinician feedback pipelines.
• Investigate data to identify where patient drop-offs and bottlenecks occur.
• Add tests, lineage, and alerts to ensure trustworthy analytics.
• Collaborate with engineers and clinicians; manage schema changes and backfills.

Conocimientos

SQL

Python

Data modeling

Data testing & monitoring

Privacy & data quality

Problem solving

Healthcare data familiarity

Herramientas

dbt

Prefect/Airflow

BigQuery

PostgreSQL

DuckDB/Motherduck

Descripción del empleo

Tono is building a fully autonomous specialty medicine clinic and is seeking a Data Engineer to own data pipelines, modeling, and analytics for a regulated healthcare environment. You will collaborate with engineers, physicians, and care coordinators to ensure high-quality data powering AI features and reporting.

Based in New York with hybrid work options, you’ll help scale data movement across EHR, patient portal, telehealth, and in-person clinics while maintaining strong data governance and