As a camera hardware data engineer at Apple, you will work closely with data scientists, hardware engineers, and manufacturing operations teams to build scalable data pipelines and solutions. The focus is on creating a comprehensive aggregate data layer that supports executive reporting, customized data applications, and machine learning workflows. You will need to bridge the gap between business needs and engineering requirements through effective collaboration. Proactive engagement with other data engineering teams is essential for scaling solutions across the organization.

• BS in Computer Science, Data Engineering, Data Science, Math, or related fields
• Hands-on experience using cloud data analytics platforms such as Snowflake or Databricks
• Experience building data transformation pipelines using frameworks like Data Built Tool (dbt) or Spark
• Experience in data modeling and data governance techniques
• 10 years of relevant industry experience
• Experience in building and validating AI tooling such as MCP servers and automated agents
• Experience with pipeline orchestration frameworks such as Airflow
• Experience in the use of Python frameworks like FastAPI
• Experience designing and building relational databases like PostgreSQL and non-relational databases like Redis or MongoDB
• Working knowledge of Kubernetes for deploying and monitoring cloud-native applications

• Build scalable data pipelines and solutions for camera hardware data.
• Collaborate with data scientists and hardware engineers to meet business needs.
• Bridge the gap between analytical solutions and engineering requirements.
• Engage proactively with other data engineering teams to scale solutions.
• Develop and validate AI tooling for enhanced data processing.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.