About Company

Apple Inc. is one of the world’s most innovative technology companies, known for revolutionizing industries through products like the iPhone, Mac, Apple Watch, and services that power millions of businesses and consumers globally. Founded in 1976 and headquartered in Cupertino, California, Apple has consistently pushed the boundaries of innovation, design, and technology.

Joining Apple as a Cloud Data Engineer means working with advanced big data technologies such as Snowflake, Spark, Kafka, Cassandra, Iceberg, HANA, and SingleStore to build scalable analytics platforms. Engineers collaborate with global teams to design cloud-based data warehouses and data lakes that support Apple’s business intelligence ecosystem.

Job Details

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Key Responsibilities

• Design and develop modern cloud-based data warehouses and data lakes to support enterprise analytics.

• Build and maintain scalable data pipelines capable of processing large volumes of data across distributed systems.

• Translate complex business requirements into scalable and efficient technical data solutions.

• Implement best practices in data engineering, including data modeling, pipeline orchestration, and data governance.

• Develop solutions that support real-time, near real-time, and batch analytical workloads.

• Work with petabyte-scale datasets using modern big data frameworks.

• Collaborate with cross-functional teams including engineering, analytics, product teams, and business stakeholders.

• Maintain high performance, reliability, and scalability of enterprise data infrastructure.

• Manage risks, communicate project status, and coordinate with global partners to ensure successful project delivery.

• Ensure high data quality and efficient data accessibility through well-designed dimensional data models.

Required Skills

Candidates applying for this role should possess strong expertise in modern data engineering technologies and analytics infrastructure.

Technical Skills

• Advanced SQL and Advanced SQL optimization techniques

• Cloud data warehouse technologies such as Snowflake or SingleStore

• Experience building cloud-based data pipelines

• Strong programming knowledge in Python or Scala

• Experience working with big data frameworks such as Apache Spark

• Knowledge of distributed databases and large-scale systems

• Hands-on experience with AWS, Azure, or Google Cloud Platform

• Experience with data warehousing and data lake architectures

• Expertise in ETL/ELT pipelines and workflow orchestration

Data Engineering Skills

• Dimensional data modeling (Star Schema, Snowflake Schema)

• Data transformation and large dataset processing

• Data pipeline performance optimization

• Working with real-time streaming data technologies

Preferred Skills

While not mandatory, the following skills can provide an advantage:

• Experience working with Kafka, Iceberg, Cassandra, HANA, or SingleStore

• Exposure to data science or machine learning data pipelines

• Experience managing petabyte-scale datasets

• Strong problem-solving and analytical thinking skills

• Experience working with global cross-functional teams

• Ability to adopt and implement new technologies quickly

Perks & Benefits

Working at Apple offers several professional and personal benefits.

• Competitive salary and performance-based bonuses

• Health and wellness benefits

• Global exposure working with international teams

• Access to cutting-edge data technologies and platforms

• Learning and career development opportunities

• Inclusive and innovative workplace culture

• Employee discounts on Apple products

• Opportunity to contribute to impactful global products

Why Join Us

Apple offers one of the most dynamic and innovation-driven work environments in the world. Engineers at Apple work on some of the largest and most complex data systems that power global business operations.

Reasons to join Apple:

• Work with petabyte-scale data systems

• Collaborate with some of the world’s top engineers

• Access cutting-edge big data technologies

• Build systems that directly influence global business decisions

• Strong culture of innovation and creativity

• Career growth within one of the most respected companies in the tech industry

Eligibility Criteria

Candidates must meet the following eligibility requirements:

• Bachelor’s or Master’s Degree in Computer Science, Data Engineering, Information Systems, or related field

• Minimum 4 years of experience in data engineering or big data development

• Hands-on experience with cloud platforms such as AWS, Azure, or GCP

• Strong expertise in SQL and modern data warehouse technologies

• Experience designing scalable data pipelines and ETL workflows

Selection Process

The recruitment process typically involves several stages:

1. Online Application Submission

2. Resume Screening

3. Technical Assessment / Coding Test

4. Technical Interview (Data Engineering & SQL Concepts)

5. System Design Interview

6. HR / Cultural Fit Interview

7. Final Offer & Onboarding

Important Dates

• Job Posted: March 12, 2026

• Application Deadline: Not specified (Apply as soon as possible)

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Ready to Apply?

Interested candidates can apply through Apple’s official careers portal.

Official Application Link