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Apple Data Engineer Jobs in California (NOW HIRING)

Apple is seeking a hands-on Data Engineer to join the Next-Gen Workflow team within our Finance Process, Analytics, Reporting & Technology (PART) Data Operations group. You'll design and build the ...

Apple's Media, Graphics, and Compute Technologies Group (MGC) is looking for a talented and dedicated big data engineer to join our Data Engineering team. The Data Engineering team within the MGC ...

Would you like to drive the future of Apple's data platform and shape how AI fundamentally ... Minimum Qualifications 8+ years of software engineering experience building scalable systems ...

Would you like to drive the future of Apple's data platform and shape how AI fundamentally ... Minimum Qualifications 8+ years of software engineering experience building scalable systems ...

Data Engineer

Cupertino, CA · On-site

$141K - $169K/yr

Apple's Media, Graphics, and Compute Technologies Group (MGC) is looking for a talented and dedicated big data engineer to join our Data Engineering team. The Data Engineering team within the MGC ...

Engineering Manager, Network Security

Sunnyvale, CA · On-site

$122K - $167K/yr

Apple's Data Center Networking team is responsible for all aspects of the Network Infrastructure ... AI/ML platform teams, Cloud Platform teams, Infrastructure and data center operations, SRE and ...

Apple's Data Center Networking team is responsible for all aspects of the Network Infrastructure ... AI/ML platform teams, Cloud Platform teams, Infrastructure and data center operations, SRE and ...

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Apple Data Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do apple data engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for apple data engineer in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Apple Data Engineer, and why are they important?

To thrive as an Apple Data Engineer, you need a strong background in computer science, data modeling, and large-scale data processing, typically supported by a relevant degree and experience with distributed systems. Proficiency with tools like SQL, Python, Spark, Hadoop, and data warehousing solutions, as well as familiarity with Apple’s proprietary technologies, is essential. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate across teams and ensure data integrity. These skills and qualities are crucial for building reliable data pipelines and enabling data-driven decision-making at scale.

What are some common challenges faced by Apple Data Engineers when managing large-scale data pipelines?

Apple Data Engineers often work with massive volumes of data that require robust, scalable pipeline solutions. One common challenge is ensuring data quality and consistency across distributed systems, especially as requirements and data sources evolve rapidly. Additionally, optimizing data processing for speed and reliability while meeting strict security and privacy standards can be complex. Collaborating closely with data scientists, software engineers, and product teams is essential to align technical solutions with business objectives.

What are Apple Data Engineers?

Apple Data Engineers are professionals who design, build, and maintain the data infrastructure and systems used by Apple to support its products and services. They work with large volumes of data, creating pipelines and tools to collect, process, and analyze information efficiently. Their responsibilities often include integrating new data sources, optimizing data storage, and ensuring data quality and security. Apple Data Engineers collaborate with data scientists, analysts, and other engineers to deliver insights and enable data-driven decision-making within the company.

What is the difference between Apple Data Engineer vs Apple Data Analyst?

AspectApple Data EngineerApple Data Analyst
Required SkillsData pipeline development, SQL, Python, Spark, cloud platformsData interpretation, reporting, SQL, Excel, visualization tools
Work EnvironmentEngineering teams, data infrastructure projectsBusiness teams, data reporting and insights
Common CertificationsCloud certifications, data engineering certificationsData analysis certifications, Tableau, Excel certifications

Apple Data Engineers focus on building and maintaining data infrastructure, pipelines, and systems to support data collection and processing. In contrast, Apple Data Analysts interpret data, create reports, and provide insights to inform business decisions. While both roles require strong SQL skills, Data Engineers emphasize technical infrastructure, whereas Data Analysts focus on data visualization and storytelling.

What are popular job titles related to Apple Data Engineer jobs in California? For Apple Data Engineer jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Apple Data Engineer jobs? Cities in California with the most Apple Data Engineer job openings:
Infographic showing various Apple Data Engineer job openings in California as of July 2026, with employment types broken down into 87% Full Time, 7% Part Time, and 6% Contract. Highlights an 52% Physical, and 48% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

Senior Site Reliability Engineer, Apple Data Platform SRE / Apple Services Engineering

Apple

Cupertino, CA • On-site

$70.25 - $93.50/hr

Full-time

Re-posted 6 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 675 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

At Apple, we believe that innovation flourishes in an environment where ideas are challenged, collaboration is encouraged, and technology is pushed to its limits. This environment is only possible when diverse minds come together, bringing unique perspectives and experiences. Our people and their ideas inspire innovation in everything we do. Imagine what you could accomplish here! Join Apple and help us make the world a better place.
As a principal contributor and technical lead in our Apple Data Platform (ADP) SRE organization, you will apply SRE principles as you mentor and partner with our engineers and partner teams, ensuring large-scale analytics infrastructure runs reliably and efficiently. This role focuses on driving reliability standards, architectural consistency, and engineering excellence across peer SRE teams and partner engineering organizations - spanning Hadoop, HBase, Spark, Data Lakes, and Airflow ecosystems - through technical leadership, cross-functional alignment, and the development of platform-wide tooling, observability, and operational practices that raise the reliability bar for all of ADP. This role includes production on-call responsibilities.
Description
Apple Service Engineering (ASE) teams build and scale the platforms and infrastructure behind many of Apple's services - including iCloud, iTunes, Siri, and Maps. We are the foundation on which Apple's software developers build the products that our customers love. We are looking for a passionate and dedicated Technical Lead to drive SRE standards and engineering excellence across the entire Apple Data Platform organization. The Apple Data Platform (ADP) SRE Technical Lead partners with multiple SRE and engineering teams across the data platform - including teams responsible for Hadoop and HBase infrastructure, Spark, S3-compatible storage, and Airflow-orchestrated pipelines. Rather than owning a single vertical, this role sets the technical direction for how reliability is practiced across ADP: defining SLOs, establishing architectural review processes, developing shared tooling and automation, and ensuring that SRE principles are applied consistently as the platform scales. You will be a force multiplier - making every team around you more effective.
Minimum Qualifications
BS/MS in Computer Science or equivalent
12+ years of experience in Site Reliability Engineering, managing infrastructure and services at scale
5+ years of experience in technical leadership roles, with demonstrated ability to lead horizontally across teams without direct authority
Broad expertise across the data platform stack: Hadoop (HDFS, YARN), HBase, Apache Spark, Data Lake architectures, S3-compatible storage solutions, and Apache Airflow
History of defining and driving SLO/error budget frameworks and reliability practices across multiple teams or services
Demonstrable programming skills to develop shared tooling, lead code reviews, and set engineering standards
Strong written and verbal communication skills - able to present technical strategy to both engineers and leadership
Advanced knowledge of Linux, networking, and distributed systems fundamentals
Preferred Qualifications
15+ years of experience in SRE or related work managing infrastructure at scale
Experience with Ceph object storage operations
Kubernetes cluster operations experience, particularly running stateful data workloads
Experience with scale testing, disaster recovery, and capacity planning across distributed data systems
Experience driving multi-year platform migrations or large-scale architectural transitions
Ability to define the technical roadmap for a data platform organization and drive cross-functional alignment on architectural standards and best practices
Background in data security, access control, or compliance-sensitive data environments

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About Apple

Sourced by ZipRecruiter

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 could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976