Trovo Health · 5 hours ago
Data Engineer
Trovo Health is building an AI-powered care team platform to enhance clinical capacity and improve care quality. They are seeking a Data Engineer to design, build, and scale data foundations, ensuring reliable client integrations and supporting product and analytics outcomes.
Artificial Intelligence (AI)Health Care
Responsibilities
Build core data infrastructure: Design, implement, and maintain scalable, data pipelines and architectures across ingestion, transformation, and storage layers
Own client integrations and data ingestion: Structure and maintain durable integrations and ETL workflows to reliably onboard and normalize client data
Design robust data models: Build and maintain clean, well-documented data models that support reporting, analytics, and downstream automation
Enable product and analytics outcomes: Ensure data flows accurately from source systems to products, analytics, and AI/ML use cases
Drive data quality and reliability: Implement monitoring, testing, and observability to ensure high data quality and system uptime
Qualification
Required
4-6+ years of experience in Data Engineering or Software Engineering with a data focus
Strong proficiency in Python and SQL
Hands-on experience with cloud data platforms (AWS and/or GCP)
Experience with data warehouses (Snowflake, Redshift, or BigQuery)
Experience with orchestration tools (Airflow or similar)
Experience with transformation tools (dbt preferred)
Familiarity integrating with healthcare data standards and systems (e.g., FHIR/HL7, EHR APIs)
Experience working with messy clinical/claims data
Experience designing data models for different sources, workflows, and business processes
Ability to explain complex technical concepts to both technical and non-technical stakeholders
You are based in New York and excited to be in-office 3+ days per week
Benefits
Equity
Generous benefits package