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Data Engineer

Apple
Posted 7 days ago, valid for 18 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 join their Battery Engineering group, focusing on building high-throughput data systems and delivering insights to product and engineering teams.
  • Candidates should have a Bachelor's degree in computer science, engineering, or a related field, along with experience in Python or a relevant programming language.
  • The role requires at least 5 years of relevant industry experience, preferably with an MS in a related field and strong database fundamentals.
  • Key responsibilities include building a battery data warehouse, developing data pipelines, and providing curated datasets for engineering teams.
  • The position offers a competitive salary, though the exact figure is not specified 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 relevant programming language Experience building production data pipelines (ETL/ELT)

Preferred Qualifications


MS in computer science, engineering, or related fields with minimum 5 years of relevant industry experience Strong grasp of database fundamentals, including data modeling, schema design, indexing, normalization, ACID, and OLTP vs. OLAP Hands-on database development experience (DML, DDL, materialized views, stored procedures); Snowflake tools are a plus (streams, tasks, dynamic tables) 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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