VisaJobSearch
Jobs / App***

Data Engineer - Battery Data Platform & AI

App*** · Cupertino, CA, United States
Visa sponsorship details are locked. Unlock company name and apply link with .
Cupertino, CA, United States181,100-272,100 USD/yearlyOnsite
Remuneration
181,100-272,100 USD/yearly
Location
Cupertino, CA, United States
Visa sponsorship
Sponsors visa

Job summary

What if the way an entire engineering organization worked with its data could be reinvented? On App***'s Battery Engineering team, you'll build the data systems and AI interface that battery engineers across the company rely on reliable pipelines feeding one of the cleanest and largest battery datasets anywhere, and a natural language interface that's changing how engineers work with that data.

Benefits

At Apple, base pay is one part of our total compensation package and is determinThis provides the opportunity to progress as you grow and develop within a role.The base pay range for this role is between $181,100 and $272,100, and your baseIncluding: Comprehensive medical and dental coverage, retirementAdditionally, this role might be eligible for discretionary bonuses or commissioLearn more about AppleNote: Apple benefit, compensation and employee stock programs are subject to eli

Qualifications

  • MS in Computer Science, Engineering, or a related field with 10+ years of relevant industry experience
  • Strong database fundamentals: data modeling, schema design, indexing, normalization, ACID, and OLTP vs.
  • Hands-on database development (DML, DDL, materialized views, stored procedures); Snowflake (streams, tasks, dynamic tables) a plus
  • Hands-on experience with orchestration (e.g., Airflow), batch/stream processing, and cloud platforms (e.g., AWS)
  • Deep curiosity about AI and hands-on experience applying it - at work or in personal projects.
  • You keep up with the latest
  • BS in Computer Science, Engineering, or a related field
  • Experience with Python, SQL, and at least one other high-level programming language
  • Experience building production data pipelines (ETL/ELT)
  • Pay &
  • experience, and location.
  • App*** employees also have the opportunity to become an App*** shareholder through participation in App***'s discretionary employee stock programs.

Responsibilities

  • You'll be building the platform the whole battery organization runs on.
  • You'll build reliable pipelines that bring this data - structured, semi-structured, and unstructured - out of disparate systems owned by teams around the world.
  • Second, you'll build out BARD, the natural language interface to BDW.
  • You'll engineer the full agentic stack: our custom MCP server, agentic search, domain knowledge, tool design, evals, and the end-to-end user experience.
  • You'll take real ownership and drive projects forward, while staying closely aligned with the team and our broader direction.","
  • Partner with cross-functional and engineering teams to identify data opportunities, define domain ontology, and establish the use cases that drive BDW
  • Design, build, and maintain production data pipelines (ETL/ELT) that bring structured, semi-structured, and unstructured data into BDW at the right cadence and reliability
  • Build relationships with upstream source-system owners to unlock new data integrations, and establish and enforce pipeline SLAs
  • Engineer BARD, the natural language interface to BDW, designing the agentic stack (MCP server, agentic search, domain knowledge, tool design, evals) and its end-to-end user experience
  • Partner with infrastructure teams (DBA, IT) to ensure the health of pipelines and the data warehouse
  • Apply AI to your own workflow and to the battery organization's problems - bringing strong intuition for context engineering, embeddings, tokenization, and evals
  • Deliver data analyses that drive critical decisions in battery research, development, and qualification

Skills

Communication

Degrees

AssociateBachelor

Industry

EducationLogisticsManufacturing

Company size

Smb

Relocation

Yes