Data Engineer
•Today
| Estimated Pay info | Based on similar jobs in your market$84 per hour |
|---|---|
| Hours | Full-time |
| Location | Cupertino, California |
About this job
**Role Number:** 200666679-0836
**Summary**
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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Full-time Jobs Part-time Jobs Gig Jobs Posting ID: 1267361558 Posted: 2026-06-26 Job Title: Data Engineer