Senior Data Engineer

Doctronic

. Build reliable, monitored CDC pipelines from production databases (MariaDB, PostgreSQL, MongoDB) into the S3 + Iceberg lake and Snowflake .

Posted 9/21/2026full-timeNew York City • New York • United StatesSenior💰 $200,000 - $275,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and managing data pipelines, ensuring compliance with HIPAA regulations, and supporting AI model training through effective data architecture. Proficient in SQL, Python, and various data engineering tools to deliver reliable and governed data solutions.

Highest-signal resume keywords

Data Engineering ExperienceSQL ProficiencyPython ProgrammingHIPAA ComplianceData Pipeline Orchestration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringSQLPythonELT/CDC PipelinesData TransformationData GovernanceData ArchitectureData ModelingData WarehousingData Anonymization

Soft Skills

Strong CommunicationAutonomyReliability Mindset

Tools & Technologies

MariaDBPostgreSQLMongoDBS3Apache IcebergSnowflakeDbtAirflowFivetranAWS

Industry Keywords

HIPAAPHIHealthcare DataAI Data NeedsEvent Data PipelinesBehavioral DataBI Tooling

Tech Stack

Tools & technologies

AirflowApacheAWSMariaDBMongoDBPostgresPythonSQL

About the role

Key responsibilities & impact

Build reliable, monitored CDC pipelines from production databases (MariaDB, PostgreSQL, MongoDB) into the S3 + Iceberg lake and Snowflake
Stand up a transformation layer such as dbt on Snowflake so core business metrics 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 access controls for patient data, including row/column-level PHI restrictions, HIPAA Safe Harbor compliance, anonymization pipelines, and account deletion workflows
Establish a single governed copy of production data for analytics, finance, and AI teams
Support the AI team's data needs for model training
Design and build warehouse architecture with raw, transformed, and business-ready layers powering executive dashboards
Serve as Doctronic's first dedicated data engineer and own data plumbing end to end
Work with AI engineering, product, finance, partnerships, data, marketing, and other stakeholders

Requirements

What you’ll need

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 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 and ability to work directly with product, marketing, finance, and AI stakeholders
Experience with HIPAA/PHI data governance, anonymization, or healthcare data is nice to have
Experience with event/behavioral data pipelines (ClickHouse, GTM/server-side tracking, CDPs) is nice to have
Familiarity with ML data workflows, including feature pipelines, training datasets, and notebook environments (SageMaker, Databricks, Jupyter) is nice to have
Experience with BI tooling (Metabase or similar) and semantic/metrics layers is nice to have
Prior experience as the first or only data engineer at a startup is nice to have

Benefits

Comp & perks

Meaningful equity
12 weeks fully paid parental leave for all parents, regardless of gender or path to parenthood