Data Engineer: Health Sensor Data & Scalable Pipelines

Apple Inc.; Sunnyvale (CA); On-site; USD 166,560 - 277,600; Full time

Job summary

Apple Inc. in Sunnyvale is seeking a data engineer to build scalable data infrastructure powering health research. The role focuses on developing high-performance data pipelines and processing systems to support large-scale health studies and analytics.

You will design ETL pipelines with Spark, work with researchers and product teams, and contribute to a health data platform across studies, driving standardization and reusability.

Qualifications

• BS degree in CS, Engineering, Data Science or related field.
• 3+ years building and maintaining data pipelines or distributed data systems.
• Proficiency in Python and writing clean, high-performance code.
• Familiarity with SQL for querying and transforming data.
• Hands-on experience with distributed computing frameworks like Apache Spark.
• Experience with ETL development, data modeling, and data transformation workflows.

Responsibilities

• Design and develop scalable, parallelized data systems for time-series health data.
• Implement robust ETL pipelines using Spark to ingest and transform data formats.
• Collaborate with study stakeholders to gather requirements and support study design.
• Build tools and dashboards to visualize health data and support analysis.
• Work with cross‑functional teams to support design, testing, and deployment.

Skills

Python

SQL

Spark

ETL development

Education

BS in Computer Science/Engineering/Data Science

Tools

Docker

Kubernetes

Airflow

Job description

Apple Inc. in Sunnyvale is seeking a data engineer to build scalable data infrastructure powering health research. The role focuses on developing high-performance data pipelines and processing systems to support large-scale health studies and analytics.

You will design ETL pipelines with Spark, work with researchers and product teams, and contribute to a health data platform across studies, driving standardization and reusability.