Data Engineer, Health Sensing

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Sunnyvale, CA
Salary: $150,400–$277,600 / yr
Posted: 1 day ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $169k

This role $214k

$109k most similar roles pay here $296k

This role pays more than 82% of similar roles. Most pay $126,800–$211,200 — the shaded band above. At the midpoint, this role pays about $214k versus about $169k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 2305 open roles on FindRole.

Listed pay typically runs $175,000–$280,000 across 1873 roles with salary data.

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At a glance

TL;DR · Data Engineer, Health Sensing

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Data Engineer - Health Sensing joins a team of data engineers building scalable infrastructure to power health research and clinical validations. In this role, you will design and build high-throughput, distributed data pipelines to ingest, process, and transform large volumes of time-series sensor data from consumer-grade devices. You will develop ETL pipelines for binary and proprietary formats, create tools and dashboards for data exploration, and drive architecture standardization across a company-wide health data platform. The role requires proficiency in Python and SQL, along with hands-on experience using Apache Spark for distributed computing. Preferred skills include working with Docker, Kubernetes, and Airflow in Linux environments. You will solve technical challenges related to processing complex healthcare datasets and supporting the development of advanced analytics for research and product innovation.

What does a Data Engineer earn in California?

Median $194100 from 43 postings across 21 companies.

See salary data

Skills

Python SQL Apache Spark ETL Data Modeling AWS GCP Azure Docker Kubernetes Apache Airflow Linux Time-series Data Distributed Computing Data Pipelines

What you'll do

Design and develop scalable, parallelized data systems to process complex time-series health data from sensors.
Implement robust ETL pipelines using Apache Spark to ingest and transform binary and proprietary data formats.
Gather requirements from study stakeholders to ensure data architecture supports evolving research needs.
Build tools and dashboards to visualize health data and support research insights.
Support the design, integration, testing, and deployment of health data solutions with cross-functional teams.
Drive standardization and reusability across studies to evolve a company-wide health data platform.

What we're looking for

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 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 with sensor data, time-series data, or healthcare datasets (preferred).
Experience with cloud environments, containerization tools, job orchestration, or Linux-based systems (preferred).

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