Data Engineer
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.
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)
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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
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
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)
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $220,900, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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