Staff Data Engineer

Staff Data Engineer

Location: Hybrid, New York

Salary: Up to $350,000 + Equity

Industry: Healthcare / AI Infrastructure / Data Platforms

Who You’ll Join:

Join an AI-native healthcare provider that is rebuilding the administrative backbone of home health so agencies can spend more time on care and less on paperwork. The team is building an AI-driven operations platform that automates workflows like insurance verification, prior authorization, and billing instead of just selling software into existing agencies. Backed by top-tier investors and a ~20-person team with deep experience across healthcare operations, applied AI, and complex workflow automation, this is a high-exposure role working closely with founders and leadership.

What You’ll Do:

• Design, build, and maintain robust data pipelines integrating EMRs, EDI feeds, internal systems, and third-party APIs into a unified data layer.
• Develop and manage data infrastructure using modern data warehouses (Databricks, Redshift, Snowflake, or BigQuery) and relational databases such as Postgres or MySQL.
• Model complex healthcare domains including RCM workflows, clinical operations, and intake processes into clean, analytics-ready schemas.
• Build analytics, alerting, and dashboards to surface opportunities for automation and process improvement across operations.
• Contribute to the technical direction of the business intelligence platform and scale data infrastructure as volumes and AI workloads grow.
• Over time, take end-to-end ownership of the data platform, setting the technical vision and enabling data-driven product and business decisions.

Who You Are:

• 3+ years of experience building and maintaining data pipelines, warehouses, and analytics infrastructure in production.
• Strong SQL skills and experience with at least one modern data warehouse (Databricks, Redshift, Snowflake, or BigQuery) plus relational databases like Postgres or MySQL.
• Comfortable with statistical analysis, exploratory data analysis, and using Python or R to solve business problems.
• Experience building ETL/ELT pipelines using tools such as Airflow, dbt, Dagster, or similar.
• Able to translate technical data concepts for non-technical stakeholders and partner effectively with Product and Engineering.
• Preferred: experience in healthcare technology and standards (EDI, HL7, FHIR, claims, clinical documentation), real-time or streaming pipelines, ML feature engineering, and BI tools like Hex or Sigma.

Tech Stack:

AWS, Terraform

Why You’ll Thrive:

• Work in an AI-native provider model where agentic AI sits at the core of operations, not as a bolt-on feature.
• Tackle high-stakes problems in home health and aging care, directly reducing administrative waste so clinicians can spend more time with patients.
• Operate in a small, well-backed team where you work closely with founders and have real influence on product, metrics, and operational strategy.
• Help agencies lower overhead and accelerate payments while improving access and reliability of care for patients and families.

*This role is open to US citizens, Green Card holders, and TN visa holders only.*