Job Title: Data Engineer

Experience: 5+ Years

Location: Pune (Amar Tech Park, Balewadi, Pune), Full-time, In-office

Domain: Healthcare is must (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 performance, reliability, and cost efficiency.
8. Participate in architecture discussions, code reviews, and mentoring, setting best practices for data engineering.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
• 5+ years of hands-on experience in data engineering (cloud-native environments preferred).
• Strong proficiency in SQL and Python for data engineering workflows.
• Proven experience with:
• Google Cloud Dataflow, Datastream, or Airbyte (streaming & ingestion pipelines)
• AWS Postgres (transactional & analytical use cases)
• Google FHIR Store (FHIR APIs & EHR ingestion)
• Google BigQuery (large-scale data warehouse/lakehouse)
• dbt/OBT for transformations and modeling
• Experience designing and maintaining unified data models from heterogeneous healthcare data sources.
• Familiarity with healthcare data standards: HL7, FHIR, X12 EDI (837/835), ICD, SNOMED, ADT, CCD/CCDA.
• Experience ensuring HIPAA-compliant data handling, governance, and observability.
• Knowledge of data modeling (star/snowflake schemas) and cloud-native architectures (AWS/GCP).

Good to Have

• Experience with Health care standardization frameworks.
• Building feature stores for AI/ML pipelines.
• Familiarity with real-time streaming.
• Hands-on with Power BI or other BI tools for analytics enablement.
• Prior work in Value-Based Care, ACOs, MSOs, or population health environments.
• Ability to mentor junior engineers and establish team-wide best practices.

Why Join Us?

• Build impactful data pipelines powering AI, LLMs, and BI in healthcare.
• Work on meaningful problems that directly improve patient outcomes and provider efficiency.
• Be part of a growing tech-first healthcare company with strong domain expertise.
• Collaborative culture with AI, data, product, and engineering teams.
• Competitive compensation, benefits, and career growth opportunities.