Urgent! Sr. Software Engineer, Big Data - Apple Services Engineering Job Opening In Cupertino – Now Hiring Apple
**Weekly Hours:** 40
**Role Number:** 200619687-0836
**Summary**
Imagine what you could do here.
At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly.
Bring passion and dedication to your job and there's no telling what you can accomplish.
Would you like the stimulation and challenges of building world-class, extraordinary scalable systems that power App Store, Music, TV+, Fitness+, Arcade, Payments and many more?
Then this is the opportunity for you at Apple! We strive to provide a flawless experience for millions of customers and developers.
We are seeking a Software Engineer to join Apple Services Engineering (ASE) who brings deep passion for building distributed large scale data processing systems, frameworks and platforms using big data technologies.
**Description**
Data is our first class citizen.
The volume of the data is on petabytes scale.
And we are software engineers who build distributed systems to generate data analytics.
The systems should scale well, be highly available and provide consistent results.
The systems we build have significant impact on our stakeholders.
And most importantly, we are deeply committed to Apple’s privacy policy, which forms Apple’s core values.
You will have important responsibility and influence in designing and building the data platform to empower data analytics.
**Minimum Qualifications**
+ BS or MS in Computer Science or a related field with 10+ years experience.
+ Strong technical knowledge in Java, Scala, SQL.
+ Experience leading complex engineering projects from inception to production across organizational boundaries.
+ Exceptional analytical skills combined with a deep knowledge of data structures and algorithms.
+ Can see the big picture, set a vision, and grow the team and platform in accordance to that vision.
+ Excellent communication skills.
Can effectively communicate complex ideas and make compelling arguments - guiding the team, partners and leadership.
+ Effectively collaborate with engineers, product managers, designers, collaborators, partners, etc.
+ Enjoys deep technical and product discussions.
Has attention to detail and can context switch across multiple projects.
+ Deep experience in designing and implementing scalable big data solutions that span multi-functional teams.
+ Multi year experience with Big Data technologies like Spark batch, Spark streaming, Flink and Hadoop ecosystem.
+ Experience integrating messaging technologies like Kafka.
**Preferred Qualifications**
+ Experience with mentoring, guiding, and motivating other team members.
+ Experience with NoSQL data stores like Cassandra, Voldemort, etc.
+ Applied experience with LLMs and/or agent in production environment.
**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 Sr Software Potential: Insight & Career Growth Guide
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Great news! Apple is currently hiring and seeking a Sr. Software Engineer, Big Data Apple Services 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: Sr. Software Engineer, Big Data Apple Services 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 Sr. Software Engineer, Big Data Apple Services 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 Sr. Software Engineer, Big Data Apple Services 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 Sr. Software Engineer, Big Data Apple Services Engineering interview at Apple, research the company, understand the job requirements, and practice common interview questions.
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