Data Engineer

About the Company

Fold Health is building an AI-powered healthcare technology platform designed to support Value-Based Care (VBC) programs. By combining advanced data integration, analytics, and intelligent automation, we help providers, payers, and care teams deliver better outcomes and improve patient experiences.

Responsibilities

• Design, build, and maintain scalable batch and streaming pipelines using Google Cloud Dataflow, Google Cloud Datastream, Airbyte, and orchestration tools
• Develop and optimize ETL/ELT processes across AWS Postgres, Google FHIR Store, and Google BigQuery
• Build and maintain unified data models that integrate multiple healthcare data sources including EHR/FHIR, claims/X12, and ADT/HL7
• Implement dbt/OBT transformations to create curated semantic layers for AI/LLM, BI, and predictive analytics
• Ensure data quality, lineage, validation, and governance while maintaining HIPAA compliance
• Collaborate with AI/ML engineers, BI developers, and product teams to enable data-driven features
• Implement monitoring, anomaly detection, and pipeline optimization

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field
• 1-3 years of hands-on experience in data engineering
• Strong proficiency in SQL and Python
• Experience with Google Cloud Dataflow, Datastream, or Airbyte
• Experience with AWS Postgres and Google BigQuery
• Experience with dbt/OBT for transformations and modeling
• Familiarity with healthcare data standards such as HL7, FHIR, X12 EDI, ICD, and SNOMED
• Knowledge of data modeling and cloud-native architectures

Preferred Qualifications

• Experience with healthcare standardization frameworks
• Experience building feature stores for AI/ML pipelines
• Familiarity with real-time streaming
• Hands-on with Power BI or other BI tools
• Prior work in Value-Based Care, ACOs, MSOs, or population health environments