Data Engineer

Cupertino, CA, US • Posted 16 days ago • Updated 23 minutes ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Energy
  • Product Development
  • Data Warehouse
  • Supply Chain Management
  • Artificial Intelligence
  • Python
  • Extract
  • Transform
  • Load
  • ELT
  • Computer Science
  • Data Modeling
  • Normalization
  • OLTP
  • OLAP
  • Database
  • DML
  • DDL
  • Stored Procedures
  • Snow Flake Schema
  • Streaming
  • Orchestration
  • Data Visualization
  • Presentations
  • Tableau
  • Microsoft Power BI
  • JMP
  • Microsoft Certified Professional

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.

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. \nIn 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.

Bachelor's in computer science, engineering, or related fields\nExperience with Python or relevant programming language\nExperience building production data pipelines (ETL/ELT)

MS in computer science, engineering, or related fields with minimum 5 years of relevant industry experience\nStrong grasp of database fundamentals, including data modeling, schema design, indexing, normalization, ACID, and OLTP vs. OLAP\nHands-on database development experience (DML, DDL, materialized views, stored procedures); Snowflake tools are a plus (streams, tasks, dynamic tables)\nHands-on experience with orchestration and batch/stream processing\nHands-on experience with data visualization and presentation (e.g. Tableau, Power BI, JMP)\nBasic understanding of LLMs and MCP server development, including tokenization, embedding, context window, evals\nBasic understanding of batteries
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: aa6a13f0eeb4fd79b55449920dad632d
  • Posted 16 days ago
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