Data Engineer

About the Company

• Mission-driven healthcare technology startup focused on fixing the broken financial infrastructure in healthcare.
• Helping healthcare practices recover $125B+ in lost revenue annually.
• Recently raised Series A from CRV with $22M total funding.
• Company valuation has 10x’d in the past 20 months.
• Currently a 15-person team scaling to ~60 employees by year-end.
• Engineering team is product-led, with direct customer interaction to build meaningful solutions.

Compensation & Benefits

• Salary: $180,000 – $280,000
• Equity: 0.03% – 0.2%
• Competitive startup compensation with meaningful equity ownership.

Work Location & Visa

• Hybrid Work Policy: Minimum 3 days per week in the NYC (SoHo) office.
• Visa Sponsorship:
• Visa transfer sponsorship available for qualified candidates.
• New visa sponsorship is not available at this time.

What We’re Looking For

• 5+ years of experience building and scaling data pipelines and distributed systems.
• Comfortable operating in an autonomous, fast-paced startup environment.
• Proven ability to own data infrastructure projects end-to-end.
• Experience working with large-scale datasets and distributed systems.
• Strong cross-functional collaboration with engineering, ML, and product teams.

Key Responsibilities

• Design, build, and maintain scalable, reliable data pipelines using tools like Airflow or Dagster and dbt.
• Own and manage the company’s data infrastructure, ensuring high data quality and reliability.
• Partner with software engineering, machine learning, and product teams to understand data needs and deliver solutions.
• Build systems for data processing and coordination supporting AI-driven products.
• Optimize and scale database systems to efficiently handle large datasets.
• Enable teams across the organization to leverage data effectively for product and business decisions.

Tech Stack

• Python
• Airflow or Dagster
• dbt
• Distributed data systems and pipeline architecture

Required Experience

• Experience building data pipelines as distributed systems.
• Experience working at a VC-backed startup (Series A or later) or high-performing technology company (e.g., Meta, Palantir, or similar).
• Candidates with less than 3 years of experience must come from top-tier (“A-tier”) companies.
• Experience working with healthcare data is a strong plus.

Required Skills

• Strong Python proficiency.
• Experience with data orchestration tools (Airflow or Dagster preferred).
• Experience with dbt for data transformation.
• Experience designing and scaling data infrastructure and pipelines.

Why Join

• Mission-driven impact: Help healthcare providers recover billions in lost revenue.
• Exceptional growth: Backed by CRV with rapid valuation growth.
• Direct customer impact: Engineers work directly with healthcare providers to shape product development.
• Early team influence: Opportunity to shape the technical roadmap and company culture.
• High ownership environment: Small team where your work directly impacts the company’s trajectory.