Principal Data Engineering

About the role

Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale.

What you'll do

• Design and implement cloud-native data platforms (e.g., Azure Data Lake, Databricks, Snowflake) with batch, streaming
• Build robust pipelines using Python/Scala, Spark, SQL, Kafka, and orchestration (Azure Data Factory)
• Design and deploy REST/GraphQL APIs for curated data products, ML inference, and feature services
• Optimize cost, performance, and reliability; implement observability (lineage, logging, metrics, alerting)
• Mentor a team of engineers; define coding standards, reviews, and engineering OKRs

What you need

• 12–22 yrs of experience
• Python
• SQL
• Azure Data Factory
• LLMs
• Databricks
• Spark
• B.Sc or B.Tech or B.E. or BCA

Good to have

• Azure
• Machine learning
• Scala
• Git
• NoSQL
• Unit testing