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Apple Data Engineer Jobs (NOW HIRING)

Apple

Applied AI Engineer - iCloud Data

Cupertino, CA

$184K - $324K/yr

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 ...

Apple

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 ...

Apple

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

You'll ensure Apple products and services can seamlessly and expertly handle the tasks that make ... We are seeking a highly skilled Data Software Engineer to design, develop, and maintain scalable ...

Apple

Software Data Engineer

Seattle, WA

$142K - $263K/yr

Join Apple, and help us leave the world better than we found it. The Analytics Platforms & Experiences (APX) team is at the forefront of revolutionising Data Engineering. We drive significant ...

Apple

Engineering Manager, Network Security

Sunnyvale, CA · Hybrid

$237K - $356K/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

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

Finance Data Engineer

Austin, TX

$149K - $249K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent ...

Apple

Finance Data Engineer

Austin, TX

$149K - $249K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent ...

Apple

Finance Data Engineer

Austin, TX

$149K - $249K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent ...

Apple

Finance Data Engineer

Austin, TX

$149K - $249K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent ...

Apple

Data Center Network Architect

Bodega Bay, CA

$184K - $324K/yr

This is a small group of engineers that have heavy influence in the future of Apple's network. Preferred Qualifications 10+ years experience in building, securing, and deploying large scale data ...

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All JobsApple Data Engineer Jobs

Apple Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do apple data engineer jobs pay per year?

As of Jul 17, 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, 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.

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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
Data Analytics Engineer - Apple Services Engineering

Data Analytics Engineer - Apple Services Engineering

Apple

Cupertino, CA • On-site

$141K - $169K/yr

Full-time

Posted 15 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 670 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers

Job description

Gaming is a massive and rapidly growing part of the Apple ecosystem, bringing joy to hundreds of millions of players across all Apple devices. The Apple Games App is at the forefront of this experience, designed to connect players with incredible games, foster communities, and empower developers to build the next generation of interactive entertainment. We believe we are just getting started in redefining the gaming landscape.
We are seeking a software data engineer to join the Apple Games App Data Engineering team. In this role, you will help deliver an unparalleled gaming experience and improve the platform every day for both players and game developers by generating insights from data in a privacy-friendly manner. We enable data-driven innovation by building solutions, services, and analytical workloads for a variety of internal collaborators and external gaming partners. In a world where gaming has become a central pillar of digital entertainment, the Apple Games team is essential to Apple's business.
Description
As a member of the Apple Games App Data Engineering team, you will have significant responsibility and influence in shaping its strategic direction. This is a software engineering position. We write robust code, not just ad-hoc scripts. Our software processes dozens of terabytes of gaming and player engagement data on a daily basis. Our jobs and applications must be efficient, scalable, and stable.
Although we write software, data is our main product and first-class citizen. We care about accurate and qualitative data as much as we care about fine, clean, and manageable code. The data we produce powers Apple leadership and our game developer partners with insights about player behavior, new innovations, and the next big things in gaming. You will play a key role in developing analytics solutions tailored specifically for game developers, leveraging your knowledge of the third-party gaming analytics ecosystem to help build best-in-class tools.
To succeed here you will need to be a proponent of building world-class analytical solutions. To be a part of the team means we will want your ideas, concerns, and opinions in our discussions. We are highly collaborative. You will collaborate closely with engineering, product, and partner organizations. Privacy is a foundational engineering requirement in everything we build, and our solutions are designed to comply with Apple's privacy principles from the ground up. Our team is small and focused, where engineers work across a broad range of problems.
Minimum Qualifications
Bachelor's Degree in Computer Science, Engineering, or equivalent related experience
Experience building analytics and data solutions specifically for game developers.
Familiarity with third-party analytics tools and platforms used in the gaming industry.
5+ years of hands-on experience building distributed data processing applications using Apache Spark or Apache Flink.
5+ years of programming experience in Scala (preferred) or Java.
Experience with Big data: Hadoop, HDFS, Spark, SQL, Kafka.
Proven skills in designing scalable, highly available distributed systems using technologies like Kafka, Iceberg, Kubernetes, Airflow, and Cassandra.
Preferred Qualifications
Good understanding of software engineering principles and fundamentals including algorithms and data structures.
Self-directed, self-motivated, and ability to create architecture and design documents.
Ability to capture cross-functional requirements and translate them into practical engineering tasks.
Excellent communication skills and proven ability to work in a cross-functional environment.

What Apple employees say

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Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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