The Prospect
Data Engineers at Hinge Health are software engineers who specialize in building data pipelines, designing and implementing both OLTP and data warehouse schemas, data governance, ETL, RDBMS, and NoSQL systems. They create self-service tools and automation so application engineers and data scientists can manage their data independently and securely, following best practices for HIPAA compliance. The ideal candidate is self-driven and enjoys working in a highly team-oriented, cross-functional setting.
You will be working with a team of experienced data engineers who build and maintain a data platform that hosts petabytes of data. This platform supports key business decisions and powers important product features for our members.
Our stack: Python, SQL, dbt, Metaplane, Airflow, PostgreSQL, REST, Docker, Tonic.ai, Terraform, Spark, Kafka, Flink,Fivetran, Databricks, AWS (S3, RDS). Our workflow is trunk-based CI/CD, and our security/compliance posture is at the highest standards of healthcare, including HIPAA, HITRUST, SOC 2, CCPA.

What You’ll Accomplish




Build and maintain batch and streaming data pipelines that deliver correct, on-time data to analytics and product teams.
Implement dimensional data models and dbt transformations from a design that you and a senior engineer agree on.
Add data quality tests, monitors, and alerts to the pipelines that you own. Respond when they fire.
Apply the team's HIPAA and PII patterns when you handle member data. This includes access control, tagging, and audit trails.
Diagnose and tune slow or expensive pipelines and queries. Report the cause and the measured improvement.
Support business stakeholders and data scientists who use first-party and third-party data. Answer questions about the models that you build.
Turn a business requirement into a technical design for one pipeline or one data model. Write it down before you build.
Take part in on-call rotation for the data platform. Write and improv

📌 Data Engineer Ii Bengaluru (India)
🏢 Hinge Health
📍 India