The Opportunity :

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.

Tech Stack : Python, SQL, dbt, Metaplane, Airflow, PostgreSQL, REST, Docker, Tonic.ai, Terraform, Spark, Kafka, Flink, Fivetran, Databricks, AWS (S3, RDS).

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.

- Add data quality tests, monitors, and alerts to the pipelines that you own.

- Apply the team's HIPAA and PII patterns when you handle member data.

- Diagnose and tune slow or expensive pipelines and queries.

- Support business stakeholders and data scientists who use first-party and third-party data.

- Turn a business requirement into a technical design for one pipeline or one data model.

- Take part in on-call rotation for the data platform.

Hinge Health Hybrid Model :

This is a Bengaluru-based role that requires being in the office 3 days/week. Applicants should be open to meetings in the late evening (IST) to align with San Francisco working hours (8am - 6pm PT).

Basic Qualifications :

- Bachelor's Degree in Computer Science or related technical degree.

- 3+ years of data engineering experience.

- 2+ years of experience in processing and storing large scale data using distributed systems.

- 2+ years of experience working with OLTP and OLAP data stores.

- 1+ years of experience building data pipelines using Spark, Kafka, Airflow.

- 1+ years of experience designing and implementing data warehouse models.