Data Engineer
Thesis Care · New York, NY · 1 mo ago
On-siteEngineering$60/hrFull-time
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
Requirements
- Strong technical foundation: 4-6+ years of experience in Data Engineering or Software Engineering with a data focus; strong proficiency in Python and SQL
- Modern data stack experience: Hands-on experience with cloud data platforms (AWS and/or GCP), data warehouses (Snowflake, Redshift, or BigQuery), orchestration tools (Airflow or similar), and transformation tools (dbt preferred)
- Healthcare data chops: Familiarity integrating with healthcare data standards and systems (e.g., FHIR/HL7, EHR APIs), including working with messy clinical/claims data
- Data modeling expertise: Experience designing data models for different sources, workflows, and business processes
- Clear communication: Ability to explain complex technical concepts to both technical and non-technical stakeholders
Qualifications
NYC-based: You are based in New York and excited to be in-office 3+ days per week.
Pay
Target compensation for this role is $170-$250k, plus equity and a generous benefits package.
Schedule
Not specified
Benefits
Not specified
Skills
Not specified
Benefits
Not specified
Company Information
We are building the AI-powered care team platform for infinitely scalable clinical capacity. We radically increase access and improve quality of care by combining AI agents with clinical experts to take on high-impact clinical operations and care management activities for healthcare organizations. We’re based in NYC, are growing rapidly, and are backed by $60 million in funding from Oak HC/FT, CRV, Black Opal Ventures, and experienced C-level healthtech angel investors.