Data Engineer
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