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Senior Software Engineer, Data Science & Analytics Platform Engineering

Apple

Senior Software Engineer, Data Science & Analytics Platform Engineering

Apple

Cupertino, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$181,100 - $318,400

Benefits & Perks

Flexible PTO policy

Remote work flexibility

Health, dental, and vision coverage

Parental leave program

Learning and development stipend

Top Tier compensation with equity

Required Skills

TensorFlow

PyTorch

Airflow

Imagine what you could do here. At Apple, revolutionary ideas have a way of becoming extraordinary products, services, and customer experiences. Join the Services Data Science & Analytics Platform and AI Engineering team to enable Data Science with robust data platforms for analytics. Together, we'll create resilient, scalable infrastructure that enables our analytics systems to operate seamlessly at enterprise scale while safeguarding what matters most - our customers' privacy and trust.

Description

As a Senior Data Platforms Software Engineer, you will define the technical vision and lead the architectural evolution of platform infrastructure that enables Data Science for Apple Services. You will drive strategic platform decisions, mentor analytics teams, and influence technical direction across multiple organizations while building and optimizing the platform that supports our analytics ecosystem.","responsibilities":"As a team, we ensure Data Scientist, Business Intelligence Engineers, Data Engineers, and Machine Learning Engineers have the tools they need for storage, compute, orchestration, deployment, and AI development.

You will architect and drive adoption of a toolset that delivers flexibility, resilience, and deep analytics features while meeting Apple's stringent security and privacy requirements.

Collaborating between our team members and infrastructure organizations, you'll translate the unique requirements of Data Science, Machine Learning, and Business Intelligence workloads into scalable platform capabilities that enable rapid innovation.

You will lead cross-functional technical initiatives, establish platform engineering best practices, and drive the strategic roadmap for Data Science and AI at Apple.

Preferred Qualifications

Familiarity with AI/ML technologies including LLMs, AI Agents (Lang Chain, Google ADK, etc.)

Track record designing client-agnostic APIs using REST and/or GraphQL

Understanding of OAuth 2.0 fundamentals (authentication, delegated authorization, etc.)

Minimum Qualifications

Bachelor's degree in Computer Science, Engineering, or related field, or equivalent professional experience

7+ years of experience in software architecture design and development with expertise in Service Oriented Architecture, and Distributed Systems

2+ years of experience in technical leadership roles focused on platform engineering or infrastructure

Proficiency with containerized technologies (Docker) and container orchestration platforms (Kubernetes, Terraform)

Proven ability to design, operate, and maintain distributed systems (monitoring, observability, automation, etc.)

Proven development skills building backend API services using Python (preferred) and/or JavaScript

Practical experience with asynchronous programming, type safety, threading models, state machines and data structures

Experience with data processing frameworks and query engines like Spark, Trino, and Snowflake

Experience with managed cloud platforms such as AWS, GCP, Azure

Excellent communication skills to collaborate with non-technical audience

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 .

Pay & Benefits

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 $181,100 and $318,400, 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.

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About Apple

Apple

Apple

Public

A technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.

10,001+

Employees

Cupertino

Headquarters

$3.5T

Valuation

Reviews

4.0

10 reviews

Work Life Balance

4.0

Compensation

4.2

Culture

3.8

Career

3.5

Management

3.2

75%

Recommend to a Friend

Pros

Great coworkers and people

Excellent benefits and perks

Fast-paced and engaging work environment

Cons

High expectations and pressure

Management quality varies

Limited career progression opportunities

Salary Ranges

17,968 data points

L2

L3

L4

L5

L6

L2 · Cybersecurity Analyst L2

0 reports

$169,000

total / year

Base

$67,600

Stock

$84,500

Bonus

$16,900

$118,300

$219,700

Interview Experience

5 interviews

Difficulty

3.4

/ 5

Duration

28-42 weeks

Offer Rate

20%

Experience

Positive 20%

Neutral 40%

Negative 40%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Behavioral Interview

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit