Hardware Data Engineer - Camera

Apple • San Diego, CA

6h

About The Position

Apple delivers the most popular cameras in the world. Each product release
provides breakthroughs in photography with stunning camera features that
customers love. Our cameras deploy imaging complexity at the frontier of
traditional camera engineering methods. Data volumes are growing to meet this
need across camera simulations, performance calibrations, measurement results,
and their correlations. Our team's task is to build a comprehensive aggregate
data layer that enables efficient and flexible executive reporting, highly
customized data applications, and powerful ML inference and analysis.

DESCRIPTION

In this role, you will work closely with data scientists, hardware engineers,
hardware test, and manufacturing operations teams to build scalable data
pipelines and solutions. As a hardware data engineer, you must effectively
collaborate to bridge the gap between business needs, analytical solutions, and
engineering requirements. Additionally, proactive collaboration with other data
engineering teams is essential for scaling solutions across teams.

Requirements

• BS or higher in Computer Science, Data Engineering, Data Science, Math, or related fields
• Hands-on Experience using cloud data analytics platforms (i.e. Snowflake, Trino, BigQuery)
• Experience building data transformation pipelines using frameworks such as Data Built Tool (dbt) or Spark
• Experience in data modeling and data governance techniques (i.e. Row Access Policies, role-based access control (RBAC)

Nice To Haves

• Experience with pipeline orchestration frameworks such as Airflow
• Experience using BI tools such as Tableau or app frameworks such as Streamlit or Superset to build shareable and easy-to-understand data visualizations
• Experience in the use of Python frameworks like FastAPI to build cloud-native data access tools
• Experience designing and building relational databases (i.e. PostgreSQL) and non-relational databases (i.e. Redis, MongoDB)
• Working knowledge of Kubernetes for deploying and monitoring cloud-native applications

What This Job Offers

• Number of Employees: 5,001-10,000 employees