> Markdown version of [/jobs/ext/1856148-camera-hardware-data-engineer](https://www.wearedevelopers.com/jobs/ext/1856148-camera-hardware-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Camera Hardware Data Engineer - **Company:** Apple Inc. - **Location:** Cupertino, CA, United States - **Experience:** Expert - **Salary:** $184,700.0 - **Contract:** Permanent contract - **Skills:** Airflow, Information Engineering, Data Governance, Data Transformation, Relational Databases, Electronic Data Interchange (EDI), PostgreSQL, MongoDB, Redis, Cloud Services, DataOps, Web Application Frameworks, Snowflake, Apache Spark, Hardware Testing, Fastapi, Kubernetes, Information Technology, Non-relational Database, Data Pipelines, Databricks - **Published:** July 8, 2026 - **Apply:** https://www.jobmonkeyjobs.com/career/27830514/Camera-Hardware-Data-Engineer-California-Cupertino-7413 ## About the Role 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 Preferred Qualifications 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 ## 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 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai) - [Accelerating Authentication Architecture: Taking Passwordless to the Next Level](https://www.wearedevelopers.com/videos/733-accelerating-authentication-architecture-taking-passwordless-to-the-next-level) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters) - [ Dev Digest 213: Petrol Prices, Agentic Workflows, AI Skills and CODE100!](https://www.wearedevelopers.com/magazine/718-dev-digest-213-petrol-prices-agentic-workflows-ai-skills-and-code100)