Job Description

The people here at Apple don't just create products, they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple and help us leave the world better than we found it.

The Video Engineering group is looking for a Software Engineer with a strong emphasis on data application development, data pipeline engineering, and database systems. This is a hands-on, fast-paced role at the intersection of software, data, and machine learning, where the work you build directly impacts the quality of next-generation Apple products.

Our team sits at a critical intersection, bridging Algorithm, Quality Assurance, and User Studies teams to drive innovation in video engineering. We build the data applications, pipelines, and database systems that power how Apple collects, manages, and processes data at scale.

Preferred Qualifications

Experience with distributed data processing frameworks (e.g., Spark, Airflow, Kafka, or equivalent)
Familiarity with data warehousing, ETL/ELT patterns, and large-scale analytics workflows
Experience designing end-to-end systems, including making trade-offs around performance, cost, and maintainability
Comfortable working in fast-moving, ambiguous environments with shifting priorities and tight timelines
Strong curiosity and drive to explore new technologies, including AI/LLM tools, to improve workflows and solve novel problems
Experience building internal tooling or lightweight web interfaces (e.g., React, Flask, FastAPI) as a complement to backend/data work
Good verbal and written communication skills for cross-functional collaboration
A builder mentality: you take ownership, move fast, and care about the quality of what you ship

Minimum Qualifications

BS and a minimum of 3 years of relevant industry experience
2+ years of Python
2+ years of experience designing and developing data pipelines or data applications
1+ years of experience with a major cloud platform (e.g., AWS, or equivalent internal platforms)
Strong proficiency with Git, REST APIs, SQL, and NoSQL databases
Experience with data modeling, schema design, and database performance optimization
Familiarity with software design patterns and system design principles (e.g., scalability, reliability, modularity, separation of concerns)
Solid understanding of the software development lifecycle and engineering best practices
Proficiency in prompt engineering and AI-assisted development workflows, with experience going beyond simple code suggestions to tackle complex debugging, architectural trade-offs, or automation tasks