Staff Software Engineer (Apache Spark Poweruser / Committer)
Apple - Cupertino, United States of America
Posted Apr 2, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
- Not verified last checked Jun 13, 2026
- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Staff Software Engineer (Apache Spark Poweruser / Committer) Cupertino, United States of America Seeking extraordinary software engineers with deep experience in scalable batch and streaming processing systems. You will have a passion to push the limits of distributed computing frameworks to get every ounce of performance out of them. Looking for engineers with in depth knowledge of Spark and other related existing frameworks/systems such as Iceberg, Parquet. Also someone who will be passionate by the prospect of working reciprocally with other groups internal to Apple and also communities outside Apple. As an engineer on our team, you will advance our data infrastructure, driving innovation by implementing cutting-edge capabilities and tools that will power Apple Services Engineering. You'll collaborate closely with a dedicated team of open source data experts (including Spark, Kafka, Iceberg committers amongst others) to enhance and automate our infrastructure, ensuring seamless management across both data centers and cloud services. Your work will directly contribute to the resilience, scalability, and performance of the systems that support millions of users worldwide. What you can expect to do and contribute to: Develop and deploy new features of Apple's internal data platform. Regularly contribute to open source. Collaborate with cross-functional teams to design and implement automation tools that streamline operations and reduce manual intervention. Optimize our cloud-based services to ensure they scale effectively, handling increasing loads while maintaining high performance. Innovate on API development and integration, enabling seamless communication between our applications and services This is an opportunity to join a dynamic
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