Data Engineer

J2 Health • New York, NY

11h • $150,000 - $175,000 • Hybrid

About The Position

About J2 Health:
J2 Health is transforming how healthcare organizations design and manage provider networks—one of the most critical yet overlooked levers in delivering high-value care. Today, both consumers and payers struggle to identify the right doctors due to fragmented data and manual processes. J2’s platform combines best-in-class data with purpose-built software to help healthcare organizations build smarter networks that meet patients’ medical and personal needs.
We’re a mission-driven team of healthcare insiders, data experts, and technologists—backed by leading investors like Tiger Global and Primary Ventures—building a product that’s already delivering real value to customers.
At J2, you’ll work alongside a high-performing, collaborative team in an environment where people have real ownership, meaningful agency, and the ability to shape what we build. We’re taking a thoughtful, nimble approach to growth as we scale a real business solving a real problem in healthcare.

The Role:
We’re looking for our first Data Engineer to build and optimize production-grade data pipelines. This role will focus on designing and implementing scalable data infrastructure that accelerates analytics and improves data quality and observability.

Success in the role will be defined by:
Productizing customer reporting workflows into J2 application features
Architecting high-scale ingestion pipelines capable of handling the massive data volumes required by our newest enterprise partners
Reducing time from raw data ingestion to customer impact
Improving data observability and testing capabilities
This is an NYC-based role (in-person work expected 3 days per week).

Requirements

• Production experience with both columnar data warehouses and transactional databases, and knowledge of underlying data structures to design tables and tune queries on both
• Experience with dbt
• Experience with batch processing of large amounts of data
• Familiarity with orchestration tools like Dagster and Airflow
• Great Python engineering practices and opinions on how to get the most out of LLM coding tools
• 3-5 years of data engineering experience and comfort working across a Python-based application codebase
• Experience working in a small, cross-functional team

Responsibilities

• Design, develop, test, and maintain data architecture to facilitate the extraction, storage, and transformation of raw data
• Collaborate with and power up analysts, data scientists, and software engineers
• Ensure data observability, quality, and integrity throughout the pipeline
• Optimize and tune existing data pipelines for improved performance, reliability, and scalability

Benefits

• NYC based role (strongly preferred; remote candidates with quarterly in-office time is possible for exceptional candidates)
• Competitive compensation, stock options, and health insurance
• Commuter Benefits
• Unlimited PTO: take the time you need when you need it
• Stipend for at-home work machine and equipment
• A world-class team of fun, welcoming, ego-free, proven entrepreneurs with whom to build lifelong relationships

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed