Data Engineer

Apple • Cupertino, CA

1d

About The Position

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. 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.

Requirements

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

Nice To Haves

• MS in computer science, engineering, or related fields with minimum 5 years of relevant industry experience

Responsibilities

• Work with cross-functional teams to identify data requirements, define domain ontology, and establish clear use cases that will drive development of Battery Data Warehouse (BDW)
• Build data pipelines (ETL, ELT) to populate user-facing views in BDW at an appropriate cadence
• Work with upstream data providers to establish and enforce data pipeline SLAs
• Interface with infrastructure teams, including DBA & IT, to ensure proper functioning of all data pipelines and health of data warehouse
• Contribute to knowledge base and eval suite that drive the behavior, performance, and reliability of BDW-based A.I. agent
• Provide manual and automated data analyses that drive critical decisions in battery research, development, and qualification
• Develop Tableau and Splunk reports to support the data visualization needs of internal and cross-functional teams

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level