Founding Data & Analytics Engineer — AI-First Health NYC

Sailor Health; New York (NY); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Top quartile salary and equity

Comprehensive benefits (medical,Dental

Vision insurance

Flexible PTO and sick days

Lunch and dinner in Soho office

Team building events

Dynamic team culture

One Medical Membership for US, HSA, E-

Job summary

Sailor Health in New York City is seeking a founding Data & Analytics Engineer to architect and scale Sailor’s data foundation. You will partner with co-founders, clinicians, and engineers to build pipelines and analytics powering care delivery and decision-making.

This ground-floor role designs data models for patient outcomes, automates operations, and unlocks intelligence across the platform, blending data engineering with product thinking.

Qualifications

• 3–10 years of experience in data engineering or analytics.
• Fluent in SQL, Python, dbt, and Snowflake.
• Experience with GraphQL, REST APIs, and unstructured data such as transcripts.
• Strong communication skills and ability to collaborate with non-technical teammates.
• Able to move fast and contribute to improving mental health outcomes for older adults.

Responsibilities

• Create data-powered web apps to solve tangible business problems.
• Build pipelines in Snowflake and dbt that unify data from EHR, CRM, and other systems.
• Develop AI and ML-driven analyses of therapy transcripts and patient data.
• Automate backend operations with Python scripts powering clinical workflows.
• Track and visualize clinical outcomes (e.g., PHQ-9, GAD-7).
• Collaborate cross-functionally with clinicians and founders to turn data into action.
• Design long-term data architectures that scale with users and teams.

Skills

SQL

Python

Unstructured data handling

Tools

dbt

Snowflake

GraphQL

REST APIs

Job description

Sailor Health in New York City is seeking a founding Data & Analytics Engineer to architect and scale Sailor’s data foundation. You will partner with co-founders, clinicians, and engineers to build pipelines and analytics powering care delivery and decision-making.

This ground-floor role designs data models for patient outcomes, automates operations, and unlocks intelligence across the platform, blending data engineering with product thinking.