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Urgent! Senior Software Engineer, Data Science & Analytics Platform Engineering - Local Job Opening in Cupertino
**Role Number:** 200614969-0836
**Summary**
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.
**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
**Preferred Qualifications**
+ Familiarity with AI/ML technologies including LLMs, AI Agents (LangChain, Google ADK, etc.)
+ Track record designing client-agnostic APIs using REST and/or GraphQL
+ Understanding of OAuth 2.0 fundamentals (authentication, delegated authorization, etc)
**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.
(https://www.apple.com/careers/us/benefits.html)
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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
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Unlock Your Senior Software Potential: Insight & Career Growth Guide
Real-time Senior Software Jobs Trends in Cupertino, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior Software in Cupertino, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 205690 jobs in United States and 1254 jobs in Cupertino. This comprehensive analysis highlights market share and opportunities for professionals in Senior Software roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Apple is currently hiring and seeking a Senior Software Engineer, Data Science & Analytics Platform Engineering to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Senior Software Engineer, Data Science & Analytics Platform Engineering Jobs Cupertino.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Apple adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior Software Engineer, Data Science & Analytics Platform Engineering Jobs United States varies, but the pay scale is rated "Standard" in Cupertino. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Senior Software Engineer, Data Science & Analytics Platform Engineering typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Senior Software Engineer, Data Science & Analytics Platform Engineering interview at Apple, research the company, understand the job requirements, and practice common interview questions.
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