Data Engineer

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$147,400–$220,900 / yr
Posted
today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $163k
This role $184k
$86k most similar roles pay here $235k

This role pays more than 68% of similar roles. Most pay $126,800–$199,850 — the shaded band above. At the midpoint, this role pays about $184k versus about $163k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 969 open roles on FindRole.

Listed pay typically runs $163,300–$272,100 across 756 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Data Engineer

As part of Apple’s Battery Engineering group, you will join a dynamic team as a Data Engineer to build high-throughput data systems that deliver critical insights for battery technology advancements. Your daily tasks include collaborating with cross-functional teams to define data requirements and develop robust data pipelines from global supply chain sites into the Battery Data Warehouse (BDW). You will ensure SLAs are met, work closely with infrastructure teams to maintain system health, and contribute to knowledge bases for AI agents. Additionally, you’ll create Tableau and Splunk reports to support internal decision-making processes in battery research and development. Ideal candidates have a background in computer science or engineering, experience with Python, and hands-on skills in database development, data visualization, and orchestration tools like Snowflake. This role involves deep engagement with cutting-edge battery technology at scale, driving innovation in energy storage solutions.

What you'll do

  • Define domain ontology and use cases for Battery Data Warehouse (BDW) with cross-functional teams.
  • Build data pipelines to populate user-facing views in BDW at specified intervals.
  • Establish and enforce service level agreements (SLAs) with upstream data providers.
  • Interface with infrastructure teams to ensure proper functioning of all data pipelines.
  • Develop Tableau and Splunk reports for internal and cross-functional team needs.

What we're looking for

  • Bachelor's degree in computer science, engineering, or related field.
  • Experience building production data pipelines (ETL/ELT).
  • Proficiency in Python or a relevant programming language.
  • Strong grasp of database fundamentals and hands-on development experience.
  • Hands-on experience with orchestration tools and batch/stream processing.
  • Skills in data visualization using Tableau or similar tools.

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