drjobs Data Engineer - Health Sensing

Data Engineer - Health Sensing

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1 Vacancy
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Job Location drjobs

San Diego, CA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

We are looking for a passionate and experienced Data Engineer to join our team focused on powering cutting-edge health research through scalable and reliable data this role youll design and build high-throughput distributed data pipelines that ingest process and transform large volumes of sensor data collected from health studies. Your work will directly contribute to the advancement of health research and product development at Apple.- Design and develop scalable parallelized data systems to process complex time-series health data captured from consumer-grade sensors.- Implement robust ETL pipelines using distributed computing frameworks such as Apache Spark to ingest and transform binary and proprietary data formats.- Collaborate with study stakeholders to gather requirements and contribute to the study design process ensuring data architecture supports evolving research needs.- Build tools and dashboards to visualize health data and support data exploration analysis and research insights.- Work closely with cross-functional teams including Software Algorithms and Quality Engineering to support design integration testing and deployment of health data solutions.- Own and evolve data architecture by driving standardization and reusability across studies contributing to the development of a company-wide health data platform.


  • BS degree in Computer Science Engineering Data Science or a related technical field.
  • Minimum of 3 years relevant industry experience building and maintaining data pipelines or distributed data systems.
  • Proficiency in Python and strong programming skills with a focus on writing clean maintainable and high-performance code.
  • Familiarity in SQL for querying transforming and analyzing structured data.
  • Hands-on experience with distributed computing frameworks like Apache Spark.
  • Experience with ETL development data modeling and data transformation workflows.


  • Experience working with sensor data time-series data or healthcare datasets.
  • Experience working in cloud-based environments (e.g. AWS GCP or Azure) and with containerization tools like Docker and Kubernetes.
  • Familiarity with job orchestration tools such as Apache Airflow or similar workflow schedulers.
  • Comfort working in Linux-based environments including scripting system navigation and basic troubleshooting.
  • Exposure to clinical studies FDA validation processes or working in regulated health environments.
  • Strong communication and collaboration skills; ability to work cross-functionally with technical and non-technical partners.

Employment Type

Full Time

Company Industry

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