Doctronic
Senior Data Engineer
- Location
- New York City, NY, US
- Arrangement
- Hybrid
- Employment type
- Full-time
- Level
- Senior
- Posted
- 20 August 2026 (about a month ago)
Checked 9 days agoApplications go to the employer, never to RoleSprint
About this role
THE ROLE
You will be Doctronic's first dedicated data engineer, and you will own the plumbing end to end: how data moves from our production systems into our lakehouse and warehouse, how it gets transformed into trusted, documented tables, and who can access what.
This role serves every team in the company: AI engineering, product, finance, partnerships, and data to name a few.
WHAT YOU'LL DO
- Build reliable, monitored CDC pipelines from our production databases (MariaDB, PostgreSQL, MongoDB) into our S3 + Iceberg lake and Snowflake
- Stand up a transformation layer (e.g. dbt) on Snowflake so core business metrics (visits, bookings, revenue, retention) come from tested, version-controlled models
- Select and implement an orchestration tool so pipelines and dashboard refreshes run automatically, with alerting when they break
- Design and enforce the access control model for patient data: row/column-level PHI restrictions, HIPAA Safe Harbor compliance, anonymization pipelines, and account deletion workflows
- Establish a single governed copy of production data that analytics, finance, and the AI team all read from
- Support the AI team's data needs for model training
- Design and build a best-practice warehouse architecture with clean raw, transformed, and business-ready layers powering our executive dashboards
WHAT WE'RE LOOKING FOR
- 5+ years of data engineering experience, including ownership of production data platforms end to end
- Strong SQL and Python, with experience building and operating ELT/CDC pipelines (Fivetran, Airbyte, or similar)
- Hands-on experience with a modern lakehouse/warehouse stack: S3, Apache Iceberg, a catalog layer, and Snowflake or an equivalent warehouse
- Experience with transformation frameworks (dbt or similar) and orchestration tools (Airflow, Dagster, Glue workflows, or similar)
- Solid AWS fundamentals: IAM, Lambda, Kinesis, Glue
- A pragmatic, reliability-first mindset
- Comfort operating with high autonomy and minimal specs in a flat, engineering-first organization
- Strong communication skills; you'll work directly with product, marketing, finance, and AI stakeholders
NICE TO HAVE
- Experience with HIPAA/PHI data governance, anonymization, or healthcare data
- Experience with event/behavioral data pipelines (ClickHouse, GTM/server-side tracking, CDPs)
- Familiarity with ML data workflows: feature pipelines, training datasets, notebook environments (SageMaker, Databricks, Jupyter)
- Experience with BI tooling (Metabase or similar) and semantic/metrics layers
- Prior experience as the first or only data engineer at a startup
COMPENSATION & BENEFITS
- Base salary range: $200,000 to $275,000 annually, depending on experience, plus meaningful equity
- Parental Leave: 12 weeks fully paid parental leave for all parents, regardless of gender or path to parenthood — no distinction between birthing and non-birthing parent
Work location
- New York City, NY, US
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About this listing
Published on Ashby under the board identifier Doctronic, which is the name the employer’s own job board carries. RoleSprint has not verified the company’s registered or trading name, so it is shown exactly as published rather than tidied up.
RoleSprint is not the employer and not a recruiter. Applications are made on the employer’s own site and never reach us; what RoleSprint does is help you decide whether a role is worth your time and prepare for it if it is.
Published 20 August 2026, last checked 9 days ago. A posting stops being advertised here 90 days after the employer published it, and one the employer takes down is marked closed rather than quietly removed.