Job Title: Data Engineer
Experience: 1 -3 Years
Location: Pune (Amar Tech Park, Balewadi, Pune), Full time, In-office
Domain: Healthcare (Preferred - Value-Based Care / Population Health)
About Fold Health
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. Our mission is to simplify healthcare technology while enabling innovation at scale — join us and be part of shaping the future of AI-driven healthcare.
We process and normalize diverse healthcare datasets — including EHR, claims, ADT, CRM, transactional, and third-party sources — into a unified data model that powers data stratification, advanced analytics, AI/LLMs, and BI use cases. Our mission is to simplify healthcare technology, ensure interoperability, and enable innovation at scale. Join us and shape the future of healthcare data engineering.
Responsibilities
1. Design,
build, and maintain scalable batch and streaming pipelines using Google Cloud Dataflow, Google Cloud Datastream, Airbyte, and orchestration tools (Airflow/Prefect/Dagster).
2. Develop and optimize ETL/ELT processes across AWS Postgres, Google FHIR Store, and Google BigQuery.
3. Build and maintain unified data models that integrate multiple healthcare data sources (EHR/FHIR, claims/X12, ADT/HL7, CRM, transactional Postgres, Tuva, and third-party APIs).
4. Implement dbt/OBT transformations to create curated semantic layers for AI/LLM, BI, and predictive analytics.
5. Ensure data quality, lineage, validation, and governance while maintaining HIPAA compliance and PHI/PII security.
6. Collaborate with AI/ML engineers, BI developers, and product teams to enable data-driven features, dashboards, and predictive models.
7. Implement monitoring, anomaly detection, and pipeline optimization for performanc
📌 Fold Health- Data Engineer (Pune)
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📍 Pune