Health Data Engineer — Sensor Analytics

Apple Inc.

Cupertino, Northern (CA, KY)

Hybrid

USD 185,000 - 325,000

Full time

19 hours ago
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Benefits offered by this job

Medical and dental coverage
Employee stock programs
Tuition reimbursement
Relocation assistance

Job summary

Apple Inc. is seeking a data infrastructure engineer to design and build scalable data pipelines powering Health and Fitness features.

You will ingest raw sensor data from consumer devices, transform it at scale, and ensure data quality for research and product insights across platforms. Collaborating with Software, Algorithms, and EPM teams, you will create analytics to validate algorithm outputs, build dashboards, and drive deployment of health software.

Qualifications

  • BS degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Minimum of 3 years of industry experience building and maintaining large-scale data processing or simulation pipelines, or performing large-scale data analysis.
  • Strong programming skills in Python, with a focus on writing clean, maintainable, and high-performance code.
  • Familiarity with SQL for querying, transforming, and analyzing structured data.
  • Hands-on experience with distributed computing frameworks such as Apache Spark.
  • Comfort leveraging AI tools to accelerate problem-solving and development.

Responsibilities

  • Design and develop scalable, parallelized data pipelines to process and transform complex, time-series health data captured from consumer-grade sensors
  • Build tools and dashboards to visualize data and support data exploration, analysis, and research insights.
  • Collaborate with study stakeholders to gather requirements and contribute to the study design, tooling development, and data quality monitoring processes.
  • Design and run analytics to validate algorithm simulation output against ground truth, and build automated QA metrics to track feature performance over time
  • Work closely with cross-functional teams including Software, Algorithms, and EPM to support design, integration, testing, and deployment of the health software.

Skills

Python
SQL
Apache Spark
Distributed computing
AI tools

Education

BS degree in Computer Science, Engineering, Data Science, or a related technical field

Tools

Docker
Kubernetes
AWS
GCP
Azure

Job description

Apple Inc. is seeking a data infrastructure engineer to design and build scalable data pipelines powering Health and Fitness features.

You will ingest raw sensor data from consumer devices, transform it at scale, and ensure data quality for research and product insights across platforms. Collaborating with Software, Algorithms, and EPM teams, you will create analytics to validate algorithm outputs, build dashboards, and drive deployment of health software.

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