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Apple Data Engineer Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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'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 ...

At Apple, new ideas have a way of becoming great products, services, and customer experiences very ... Do you thrive on engineering clean data flows that connect enterprise systems to intelligent ...

Apple is where individual imaginations gather together, committing to the values that lead to great ... Engineering leadership experience Self-starter, self-motivated, self-directed, and self-sufficient.

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 is where individual imaginations gather together, committing to the values that lead to great ... Engineering leadership experience - Self-starter, self-motivated, self-directed, and self ...

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 ...

Data Center, Product Design Engineer

Austin, TX · On-site

$127K - $153K/yr

The Apple Data Center Product Design Engineering team works with other engineering groups to seamlessly integrate technology into the next generation of Apple's Server and Storage Hardware. We apply ...

Apple delivers the most popular cameras in the world. Each product release provides breakthroughs ... As a camera hardware data engineer, you must effectively collaborate to bridge the gap between ...

We are a team of strong data engineers that build the scalable data infrastructure that powers health research at Apple. We develop high-performance data pipelines and processing systems to support ...

Apple is where individual imaginations gather together, committing to the values that lead to great ... Description We are seeking a highly experienced and strategic Machine Learning Data Engineer to ...

Senior Data Engineer

Cupertino, CA · On-site

$184K - $277K/yr

Apple's App Store is the world's largest and most innovative app marketplace, home to over 2 ... We are seeking for a Senior Data Engineer to join our App Store Data team and play an integral role ...

Showing results 41-60

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 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:
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.

Finance Data Engineer

Apple

Austin, TX

$149K - $249K/yr

Full-time

Medical, Dental, Retirement

Re-posted 4 hours 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 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, and architecturally sound solutions that are aligned with business needs.
This role requires working cross-functionally with business users, IS&T, data scientists and other engineers to develop and deploy data services and pipelines. An ability to acquire knowledge of Finance business processes is important.
You will be working in an enterprise data warehouse and lakehouse environments to help identify and combine data in an efficient, scalable manner to help answer business questions.
Description
• Work closely with data scientists, machine learning engineers, software engineers, and business partners to identify, capture, collect, load and format data from the external sources, internal systems and the data warehouse.
• Develop, test, deploy, monitor, document and troubleshoot data pipelines and feature-ready datasets
• Collaborate with other engineers to define and adopt best practices for translate finance use cases into data requirements, schemas, and retrieval patterns for RAG, agents, and other LLM workflows
• Identify and review capabilities of emerging technologies and to enable the adoption of these new technologies and associated techniques
Preferred Qualifications
Effective Python, shell and SQL programmer
Hands on experience with database design and architecture in cloud data warehouses (Snowflake) and lakehouse environments (s3)
Ability to implement end to end encryption and decryption policies as part of sensitive data pipelines and semantic views or other data sources
Experience with the data development lifecycle and its associated CI/CD and version control components and tooling (Jenkins, Git, Other)
Exposure to cloud storage and orchestration tooling such as AWS and Kubernetes
Experience with streaming interfaces and pipelines a plus
Ability to implement data and automation services via RESTful interfaces
Appreciation for data quality and validation in every pipeline
Finance and accounting process experience a plus
Minimum Qualifications
5+ years of relevant Data Engineering experience
Undergraduate degree in Computer Science, MIS, Engineering, Mathematics or other quantitative discipline required with five or more years of experience
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 $149,200 and $249,000, 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
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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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