Data Engineer - Health Sensing
Core
Design and build high-throughput, distributed data pipelines to ingest, process, and transform large volumes of sensor data for health research and product development.
Role type
Senior IC data engineer (health sensing)
Builds
Scalable data pipelines, data architecture, and visualization tools for health studies
Domain
Health technology / Consumer health sensors
Deliverable
production ML models
Required skills
Python, SQL, Apache Spark, ETL development, data modeling, distributed computing
Preferred skills
Sensor data processing, time-series data, cloud platforms (AWS/GCP/Azure), containerization (Docker/Kubernetes), job orchestration (Airflow), Linux scripting
Technologies
Apache Spark, Python, SQL, AWS, GCP, Azure, Docker, Kubernetes, Apache Airflow
Responsibilities
Design scalable parallelized data systems for time-series health data; Implement robust ETL pipelines for binary and proprietary formats; Collaborate with stakeholders on study design and data architecture; Build tools and dashboards for data visualization and research insights; Support integration, testing, and deployment of health data solutions; Evolve data architecture to drive standardization and reusability across studies
Seniority
Senior, hands-on IC