at Apple
Location
Cupertino, United States of America
Compensation
$185k–$278k USD
Type
full time
Posted
1 months ago
Market range · company + function + seniority
p25 · target · p75 · n=800
Posted $278k · in the market band
Posting health
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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 camera 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.
As part of the Camera Hardware Data Engineering team, you will be responsible for expanding our powerful data engineering platform and custom team tools by designing, developing, and maintaining robust data pipelines to support camera manufacturing analytics initiatives.
You will work independently to design technical solutions to process massive datasets and engage with internal and external data providers and consumers to create low-friction data exchange systems.
You will provide technical leadership for 3rd party development teams and mentor and provide data engineering best practices across the organization.
BS in Computer Science, Data Engineering, Data Science, Math, or related fields
Hands-on Experience using cloud data analytics platforms (i.e. Snowflake, Databricks, or similar)
Experience building data transformation pipelines using frameworks such as 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, automated agents, and RAG pipelines
Experience with pipeline orchestration frameworks such as Airflow
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
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, powerful ML inference, and agentic GenAI workflows.
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
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