Data Engineer
Core
Design, build, and maintain scalable data pipelines and infrastructure to power analytics, product features, and clinical/operational decision-making for a digital health platform.
Role type
Senior Data Engineer
Builds
Scalable data pipelines, data models, and ELT/ETL workflows
Domain
Digital Health / Cloud Data Engineering
Deliverable
production ML models
Required skills
SQL, Python, Cloud Data Warehousing (Snowflake, BigQuery, Redshift), Data Orchestration (Airflow, Dagster), Cloud Platforms (AWS, GCP, Azure), Data Quality Monitoring
Preferred skills
Streaming Technologies (Kafka, Kinesis, Pub/Sub), Infrastructure-as-Code, CI/CD, ML Pipelines, Feature Engineering
Responsibilities
Design and maintain batch and streaming data pipelines; Develop and optimize data models; Build robust ELT/ETL workflows; Partner with teams to deliver clean datasets; Implement data quality checks and alerting; Uphold privacy and compliance standards; Contribute to data architecture evolution