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Data Engineer

Apple
Posted 13 hours ago, valid for 20 days
Location

Cupertino, CA 95015, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • Apple is seeking an individual to contribute to the Battery Engineering group by building high-throughput data systems and delivering insights to product and engineering teams.
  • The role requires a Bachelor's degree in computer science, engineering, or related fields, along with experience in Python or similar programming languages for building production data pipelines.
  • Preferred qualifications include a Master's degree and a minimum of 10 years of relevant industry experience, alongside a strong understanding of database fundamentals and data visualization tools.
  • Key responsibilities involve developing battery data warehouses, creating data pipelines from global supply chains, and providing curated datasets for engineering teams.
  • The position offers a competitive salary, although the specific amount is not disclosed in the job description.
Do you have a passion for invention and self-challenge? Do you thrive on pushing the limits of what’s considered feasible? As part of our Battery Engineering group, you’ll help craft creative battery solutions that deliver more energy in smaller spaces than ever before. By collaborating with product development groups across Apple, you will push the industry boundaries of what batteries can do and improve the product experience for our customers across the world.

Description


We are looking for an individual who will help build out high-throughput data systems and deliver data-driven insights to product and engineering teams across Apple, contributing to the development of new generations of battery technology. In this position, you will be a key contributor in building out the battery data warehouse, developing data pipelines from key sites in a global supply chain, and delivering curated datasets and analyses to human and A.I. consumers on engineering teams.

Minimum Qualifications


Bachelor's in computer science, engineering, or related fields Experience with Python (or Scala/Java or related) for building production data pipelines Experience building production data pipelines (ETL/ELT)

Preferred Qualifications


MS in computer science, engineering, or related fields with minimum 10 years of relevant industry experience Strong grasp of database fundamentals, including data modeling, schema design, indexing, normalization, ACID, and OLTP vs. OLAP Hands-on experience with orchestration and batch/stream processing Hands-on experience with data visualization and presentation (e.g. Tableau, Power BI, JMP) Basic understanding of LLMs and MCP server development, including tokenization, embedding, context window, evals Basic understanding of batteries



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