Q - Software Data Engineer

Apple · Operating Systems · Laptops · Bachelor's Degree · Python · SQL · ETL/ELT · 1 day ago
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Salary
≈ $120k – $314k per year (Estimated)
Location
In office (Herzliya)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 31, 2026. First seen by Alion on Jun 1, 2026. Apple scores A on the Alion truth index.

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Apple

Apple is an American multinational technology company founded in 1976 by Steve Jobs, Steve Wozniak and Ronald Wayne, and headquartered in Cupertino, California. It designs and sells consumer hardware including the iPhone, Mac, iPad, Apple Watch, AirPods and Vision Pro, together with the operating systems and silicon that run them. A growing services division built around the App Store, iCloud, Apple Music, Apple TV+ and Apple Pay now contributes a large share of profit, making Apple one of the most valuable companies in the world.
apple.com · HQ: Cupertino, United States · Smartwatches & Fitness Trackers · Operating Systems · Tablets · Laptops · Smartphones · 5000+ employees · Est. 1976
Tech stack of Apple

Our team is new, growing, and evolving quickly, and we are hiring across multiple disciplines. We work at the intersection of machine learning, hardware, and software, creating technologies that reshape how people communicate and experience the world around them in everyday life.

Description

Our software team is growing, and we are looking for a software data engineer to be entrusted with designing, building, and optimizing large-scale data pipelines in both on-premises and cloud environments.

Your role will encompass the management and storage of binary and tabular data, integration and collaboration with our AI/ML teams and stable, large-scale ETL pipelines. We value agility, so staying updated and adaptable to our evolving tech stack is inherent to the role.

Minimum Qualifications

Bachelor's/Master's degree in Computer Science, Engineering or a related field

5+ years of proven experience as a Software/Backend/Data Engineer or similar role in a fast-paced environment

Strong proficiency in Python

Expertise in SQL and familiarity with other database systems

Hands-on experience with data visualization tools

Proficiency with monitoring and logging tools

Experience with data flow and CI/CD frameworks

Understanding of object storage solutions and best practices for binary data

Preferred Qualifications

Excellent problem-solving skills, analytical mindset, and attention to detail

Strong communication and collaboration skills

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