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Health Research Data Engineer

Apple

Sunnyvale, CAFull-timeSeen todaySeen in employer's feed today

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At a glance

Compensation
No compensation found
Location
Sunnyvale, CA
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Apple seeks a data engineer for its Health Research Data team to define, process, and manage health research data, including data collected through the Apple Research app. The role designs data models and scalable processing pipelines, producing reliable datasets for analytical questions. The engineer works with clinical, operational, product, legal, privacy, and engineering partners to manage studies and support health experiences and applied research.

Skills & qualifications

RequiredNice to have

Skills

Data Modeling, nice to haveSQL, requiredScala, requiredJava, requiredPython, requiredComputer Science Concepts, requiredProblem Solving, requiredAttention to Detail, requiredInterpersonal Skills, requiredCommunication, requiredData Wrangling, nice to haveExploratory Data Analysis, nice to haveReport Building, nice to haveDashboard Building, nice to haveDistributed Processing, nice to haveSpark, nice to haveAirflow, nice to haveData Orchestration, nice to have

Qualifications

Bachelor's in CS or Data Science or Related or Equivalent Experience, requiredExperience Working With Data, required

Full job description

Weekly Hours: 40

Role Number: 200694134-3956

Summary

At Apple, we want to make great products that empower people to improve their health. We are seeking an energetic and self-sufficient data engineer to join Apple's Health Research Data team to help us define, process, and manage the data used to improve existing health experiences, as well as create new ones. You will work with health research data, including data collected from the Apple Research app. As a member of our fast-paced group, you will not only have the unique and rewarding opportunity to accelerate upcoming features that will delight and inspire millions of Apple customers every day, but also contribute to applied health research by Apple and our academic partners.

Description

We are seeking a data engineer to design and build robust data models and scalable data processing pipelines that transform complex health data. We need to reliably produce well-understood, easy-to-use datasets that can answer existing and future analytical questions. You will focus on core tools, frameworks, and patterns that will enable the whole team to meet our data quality and monitoring goals. If you believe the transformative power of data can only be fully harnessed when data management is treated as a first-class priority, this role was built for you.

In addition to using technical knowledge to drive features and improvements, you must be comfortable with rapidly evolving requirements and have excellent interpersonal skills. You will work closely with cross-functional partners across clinical, operational, product, legal, privacy, and engineering teams to gather requirements, design, implement, and manage studies through the collection, processing, and use of data. This is a high-impact, highly autonomous role for someone who pairs technical rigor with deep curiosity and an interest in making things better.

Minimum Qualifications

  • Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent work experience.

  • Enthusiasm for and experience working with data.

  • Excellent programming skills in at least one of Scala, Java, or Python.

  • Proficiency in SQL.

  • Solid understanding of fundamental computer science concepts.

  • Strong problem solver with meticulous attention to detail.

  • Highly organized, creative, motivated, and passionate about achieving results.

  • Excellent interpersonal skills and the ability to work well with other engineers by listening, communicating clearly, and actively sharing knowledge.

Preferred Qualifications

  • Hands-on experience with data modeling for large analytical workloads.

  • Advanced SQL proficiency and experience with Python for data wrangling, exploratory data analysis, and building rich reports and dashboards.

  • Experience with large-scale distributed processing engines, ideally Spark.

  • Experience with Airflow or other modern data orchestration tools.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

How this job compares

Set against the 6,255 open Data Engineer jobs on Olive Jobs, counted November 10, 2026.

Pay
  • This postingNot listed
  • California median$150–239K/yr685 salary ranges
  • California median$70–80/hr35 hourly ranges
Openings
Olive Jobs lists 892 open Data Engineer jobs in California and 6,255 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
Data Engineer postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 7 years (5,438 postings).
Education
2,380 of the 6,255 open Data Engineer jobs (38%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 10, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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