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Apple Data Engineer Jobs (NOW HIRING)

Apple Inc.

AI & Data Security Engineer

Cupertino, CA · On-site

$181.10 - $272.10/hr

At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences ... Partners closely with Data Governance, Legal, and Engineering to align AI data usage with ...

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Apple

PART Data Applications Engineer

Cupertino, CA

$120K - $201K/yr

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

AI & Data Security Engineer

Austin, TX

$184K - $277K/yr

At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences ... Partners closely with Data Governance, Legal, and Engineering to align AI data usage with ...

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Apple Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do apple data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for apple data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Apple data engineer?

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 is an Apple data engineer?

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.

More about Apple Data Engineer jobs
What cities are hiring for Apple Data Engineer jobs? Cities with the most Apple Data Engineer job openings:
What states have the most Apple Data Engineer jobs? States with the most job openings for Apple Data Engineer jobs include:
What job categories do people searching Apple Data Engineer jobs look for? The top searched job categories for Apple Data Engineer jobs are:
Apple Data Engineer jobs near you
Infographic showing various Apple Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Site Reliability Engineer, Apple Data Platform / Big Data Platform

Apple

Austin, TX • On-site

$56.50 - $75/hr

Full-time

Posted 8 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

The Apple Services Engineering team (ASE) is one of the most exciting examples of Apple's long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books - at extensive scale, meeting high expectations to deliver a huge variety of entertainment in over 35 languages to more than 150 countries.
Within ASE, the Apple Data Platform SRE team keeps a massive, multi-cloud platform running for thousands of internal engineers building the next generation of data and AI products at Apple. We sit at the intersection of infrastructure, automation, and customer success - running incident response, providing hands-on support to internal teams, and partnering with developers to make cutting-edge services like Spark, Flink, Airflow, Trino, Notebooks, and LLM-based agent platforms reliable at scale.
Description
This is a rare opportunity to build deep expertise across one of the most technically diverse platforms at Apple - while specialising in the big data engines and catalog/governance layers that power analytics and data engineering across the company. As an SRE on Apple Data Platform, you'll operate and support the team's full portfolio, from ML/AI platform services to multi-cloud infrastructure, and grow into the team's go-to expert for big data platform services - including Spark, Flink, Airflow, Trino, Notebooks, REST Catalog services (such as Glue Catalog), and data governance. Just as importantly, you'll be a first point of contact for the internal customers who rely on these services daily - someone who can translate a confusing error or a vague support request into a clear diagnosis and a fast resolution.
We're looking for a self-motivated engineer who thrives on ownership - someone who wants a set of services to call their own, the autonomy to drive their reliability roadmap, and the collaborative instinct to keep that work aligned with the team's broader direction. If you love solving hard operational problems, take genuine satisfaction in helping frustrated customers get unblocked, and want a front-row seat to how Apple's data engineering platform scales, this role offers real room to grow your scope and impact over time.
Minimum Qualifications
Bachelor's Degree in Computer Science, an engineering-related field, or equivalent related experience.
1-4 years in a Site Reliability Engineering, DevOps, or Infrastructure-focused role.
Proficient in Python; working knowledge of Golang a plus.
Deep understanding of one or more Big Data technologies (Spark, Flink, Airflow, Trino, Notebooks).
Experience with Kubernetes and at least one major cloud provider (AWS or GCP).
Excellent written and verbal communication skills, with the ability to explain technical issues clearly to non-expert customers.
Solid grounding in SRE principles, with prior on-call, production-support, or customer-facing support role experience.
Preferred Qualifications
Experience with REST Catalog services (e.g., Glue Catalog) and data governance frameworks.
Prior experience in a customer-facing or technical support role, with a demonstrated passion for customer success.
Familiarity with observability tooling: Prometheus, Grafana, Splunk, PagerDuty.
Working knowledge of CI/CD pipelines and deployment workflows.
Experience with S3 and cloud storage/networking fundamentals.
Familiarity with data pipeline orchestration and workflow scheduling patterns.
A track record of automating manual operations through scripting or tooling.
Intellectual curiosity and a drive to keep learning - for yourself, your team, and the org.

What Apple employees say

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Benefits

Hours and flexibility

Workplace

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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

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