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# Software Engineer - VE

- **Company:** Apple Inc.
- **Location:** United States
- **Contract:** Permanent contract
- **Skills:** Web Interfaces, Artificial Intelligence, Airflow, Amazon Web Services, Databases, Extract Transform Load (ETL), Data Warehousing, Software Debugging, Software Design Patterns, Distributed Computing Environment, NoSQL, Software Engineering, SQL Databases, Cloud Platform System, ReactJS, Flask (Web Framework), Large Language Models, Prompt Engineering, Apache Spark, Database Performance, Backend, Git, Fastapi, Apache Kafka, Restful APIs, Data Pipelines
- **Published:** August 28, 2026
- **Apply:** https://www.dice.com/job-detail/cdfef871-0079-4ea1-bf30-aa2ee2dfd59e

## About the Role

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

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

## Description

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.


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