Health Research Data Engineer

Apple, Inc.; Sunnyvale (CA); On-site; USD 150,000 - 278,000; Full time

Benefits offered by this job

Stock options

Medical & dental coverage

Retirement benefits

Tuition reimbursement

Relocation assistance

Employee stock purchase plan

Job summary

Apple, Inc. is seeking an energetic data engineer to design robust models and scalable pipelines for health research data, including the Apple Research app data, in Sunnyvale, CA.

You will build production-grade data pipelines with Spark, ensure data quality, and collaborate with clinical, product, legal, privacy, and engineering teams to accelerate insights for health experiences.

Qualifications

• Bachelor's degree or equivalent work experience in CS/Data Science.
• Strong programming skills in Scala, Java, or Python.
• Proficiency in SQL and data modeling concepts.

Responsibilities

• Design, develop, and maintain production-grade data models and pipelines.
• Use Spark to structure large health data volumes into analytical tables.
• Develop new frameworks for data parsing, processing, and quality.
• Participate in architecture and code reviews.
• Maintain performance, usability, and quality in data products.
• Communicate ideas and best practices across teams.
• Collaborate with clinical, product, legal, privacy, and engineering partners to gather requirements.
• Define data quality expectations and monitor data streams.

Skills

Bachelor's degree

Data Enthusiast

Scala/Java/Python

SQL

CS fundamentals

Problem solving

Organization & drive

Collaboration & communication

Education

Bachelor's degree in Computer Science, Data Science, or related field

Tools

Spark

Airflow

Job description

Sunnyvale, California, United States Software and Services

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.

Responsibilities

• Design, develop, and maintain clean, production-grade data models and transformation pipelines that translate complex health data into reliable, scalable, easy-to-use, and well-documented analytical datasets.
• Use Spark to structure large volumes of data into tables, answer analytical questions, and investigate issues.
• Develop new frameworks and tools that help the team manage data parsing, processing, and quality.
• Participate in architecture and code reviews.
• Maintain a relentless focus on performance, usability, and quality.
• Communicate ideas and champion best practices within the team and to cross-functional partners.
• Work with subject matter experts to define data quality expectations for new data streams.
• Implement core data quality metrics and monitoring to track whether those expectations are being consistently met.

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.

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.