Doctronic
Senior Data Engineer
$200K–$275K
New York City +1 · Hybrid · Senior · Full-time · Posted Nov 3, 2026
- Location
- New York City
San Francisco - Experience
- 5+ years of data engineering experience.
About the job
Doctronic’s first dedicated data engineer will build and operate its end-to-end data platform, including pipelines, warehouse models, governance, and data access for company teams.
What you'll do
- Build monitored CDC pipelines from production databases into the S3 + Iceberg lake and Snowflake, and establish automated orchestration and alerting.
- Create tested, version-controlled transformation models and a governed warehouse architecture for analytics, business metrics, and dashboards.
- Enforce patient-data access controls and privacy workflows, and support the AI team’s model-training data needs.
What they ask for
- 5+ years of data engineering experience, including end-to-end ownership of production data platforms.
- Strong SQL and Python, with experience building and operating ELT/CDC pipelines.
- Hands-on experience with S3, Apache Iceberg, a catalog layer, and Snowflake or an equivalent warehouse.
- Experience with transformation frameworks and orchestration tools; solid AWS fundamentals including IAM, Lambda, Kinesis, and Glue.
Nice to have
- Experience with HIPAA/PHI governance, anonymization, or healthcare data.
- Experience with event/behavioral data pipelines, ML data workflows, BI tooling, or being a startup’s first or only data engineer.
Pay
USD $200,000 to $275,000 annually (base salary); equity amount not stated.
Tools
SQL, Python, MariaDB, PostgreSQL, MongoDB, S3, Apache Iceberg, Snowflake
AI focus
Support the AI team’s data needs for model training; familiarity with ML data workflows is a plus.
Model-written summary · the original posting is authoritative