We’re hiring an experienced Data Engineer to design and build modern data pipelines that power advanced analytics, AI, and healthcare insights.
If you thrive in cloud-native environments and love transforming complex, multi-source data into meaningful intelligence — this role is for you.
⚙️ What You’ll Work On
- Design and maintain scalable batch and streaming data pipelines using Google Cloud Dataflow, Datastream, and Airbyte
- Develop and optimize ETL / ELT processes across AWS Postgres, Google FHIR Store, and BigQuery
- Build unified data models integrating EHR / FHIR, claims, HL7, CRM, and transactional data
- Implement transformations in dbt / OBT to create curated semantic layers for AI / BI pipelines
- Ensure data quality, lineage, validation, and HIPAA compliance across all pipelines
- Collaborate with AI / ML, BI, and product teams to deliver data-driven insights
- Drive cost optimization and performance tuning for BigQuery and streaming systems
- Contribute to architectural decisions and mentor junior engineers on best practices
🧠 What You Bring
5–8 years of hands-on experience in data engineeringDeep proficiency in SQL (joins, window functions, performance tuning) and PythonProven expertise in Google Cloud (Dataflow, Datastream) and BigQuery (partitioning, clustering, optimization)Solid experience with ETL / ELT orchestration tools (Airflow, Prefect, Dagster)Strong understanding of data modeling (star / snowflake) and cloud-native architectures (GCP / AWS)Familiarity with healthcare data standards (FHIR, HL7, X12, ICD, ADT, CCDA)Experience ensuring HIPAA-compliant data governance and security🌟 Nice-to-Have
Experience with real-time streaming and feature stores for AI / ML pipelinesHands-on experience with Power BI or other BI tools for analytics enablementBackground in Value-Based Care, ACOs, or population healthExposure to healthcare standardization frameworks📍 Location : Pune (Work from Office)
☁️ Tech Stack : GCP, Dataflow, Datastream, BigQuery, Python, SQL, dbt
🏥 Domain : HealthTech / Cloud Data Engineering
Join a growing healthtech product team and help build the data backbone that powers AI, predictive analytics, and better patient outcomes.