Data Engineer — Healthcare Data Pipelines & AI

alt Inc; New York (NY); Híbrido; USD 140.000 - 190.000; Tempo integral

Benefícios oferecidos por esta vaga

Salary 140k-190k

Equity

Medical coverage

Growth opportunities

Unlimited PTO

Resumo da vaga

Tono is building autonomous specialty medicine clinics and seeks a data engineer to own data movement across EHR, patient portals, telehealth, and clinics. You’ll shape reliable datasets used by doctors, operators, and AI features.

You’ll work with engineers, physicians, and co-founders in a fast-paced, regulated environment, ensuring data privacy, tests, and monitoring are built-in. Hybrid NY footprint preferred.

Qualificações

• 3+ years experience building and operating production data pipelines.
• Strong SQL and solid Python.
• Experience with a modern data stack: dbt, an orchestrator such as Prefect or Airflow, and a cloud warehouse such as BigQuery or Snowflake.
• Good relational database fundamentals, including schema design, migrations and query performance (Postgres).
• A habit of testing and monitoring your pipelines, and caring whether the numbers are right.
• Ability to turn a vague question from a doctor or operator into a clear dataset.
• Comfort working in a fast-moving team and picking up whatever the system needs.
• Care about privacy and data quality, and take pride in your craft.
• Nice to have: healthcare or regulated data experience, DuckDB, dlt, TypeScript, or ML/AI data support experience.

Responsabilidades

• Build the data foundation for a clinic that runs on software, owning data movement from EHR, patient portal, telehealth and in-person clinic into trusted tables.
• Collaborate with engineers, physicians, care coordinators and co-founders; own pipelines from design through monitoring.
• Produce ingestion pipelines from Postgres, Stripe, Posthog into a warehouse (BigQuery, DuckDB).
• Model clean datasets in dbt covering patient funnels, clinical operations, scheduling, billing and revenue.
• Create datasets that feed AI work with labeled data, evaluation sets and clinician feedback pipelines.
• Add tests, freshness checks, lineage and alerting so the team can trust the data.

Conhecimentos

SQL

Python

data pipelines

dbt

Prefect/Airflow

BigQuery

Snowflake

PostgreSQL

testing/monitoring

data privacy

Ferramentas

dbt

Prefect

Airflow

BigQuery

Snowflake

PostgreSQL

Descrição da vaga

Tono is building autonomous specialty medicine clinics and seeks a data engineer to own data movement across EHR, patient portals, telehealth, and clinics. You’ll shape reliable datasets used by doctors, operators, and AI features.

You’ll work with engineers, physicians, and co-founders in a fast-paced, regulated environment, ensuring data privacy, tests, and monitoring are built-in. Hybrid NY footprint preferred.