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 (Contractor)
Builds
Scalable data pipelines (batch and streaming), optimized data models, and robust ELT/ETL workflows
Domain
Digital Health / Cloud Data Engineering
Required skills
SQL, Python, Cloud Data Warehousing, Data Orchestration, Data Quality Monitoring, Cloud Platforms
Preferred skills
Streaming Technologies, Infrastructure-as-Code, CI/CD, ML Pipelines
Technologies
Snowflake, BigQuery, Redshift, dbt, Airflow, Dagster, AWS, GCP, Azure, Kafka, Kinesis, Pub/Sub
Responsibilities
Design and maintain scalable data pipelines; Develop and optimize data models; Build ELT/ETL workflows and manage orchestration; Partner with teams to deliver clean datasets; Implement data quality checks and monitoring; Handle sensitive data responsibly; Contribute to data architecture evolution
Seniority
Senior, hands-on IC
