Data Engineer

Apple Inc

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$144,600–$263,800 / yr
Posted
152 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $169k
This role $204k
$111k most similar roles pay here $280k

This role pays more than 69% of similar roles. Most pay $127,325–$211,200 — the shaded band above. At the midpoint, this role pays about $204k versus about $169k 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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Data Engineer

As a Data Engineer within the Silicon Technologies group, you will join the Productization Data Tools team to build and maintain the data infrastructure supporting semiconductor productization across various devices. You will be responsible for designing and implementing scalable data pipelines, processing text logs and STDF files, and optimizing database performance and query efficiency. Your daily work involves collaborating with data scientists and analysts to productize machine learning models while ensuring data quality and governance. The role requires proficiency in Python, Oracle SQL, Linux operating systems, and Git version control. You will also utilize Cassandra NoSQL databases and manage machine learning workflows and MLOps practices. This position addresses the technical challenge of creating robust software systems and analytics platforms to derive insights from extensive datasets within a semiconductor manufacturing and research environment.

What does a Data Engineer earn in California?

Median $199800 from 35 postings across 19 companies.

See salary data

What you'll do

  • Design and implement scalable data pipelines and processing systems.
  • Parse and process text logs and STDF files.
  • Develop and optimize database performance and query efficiency.
  • Implement data quality monitoring and validation frameworks.
  • Productize machine learning models in collaboration with data scientists.
  • Monitor system performance and troubleshoot data infrastructure issues.
  • Design, develop, and maintain robust data architectures and software systems.

What we're looking for

  • Bachelor's degree in Computer Science, Software Engineering, or a related field.
  • At least 3 years of relevant experience.
  • Three or more years of experience in software development with a focus on data systems.
  • 5+ years of experience in data engineering or data-focused software development.
  • Proficiency in Python programming language.
  • Experience with Oracle SQL and database design principles.
  • Experience with Linux operating systems and version control systems like Git.
  • Experience with Cassandra NoSQL, machine learning workflows (MLOps), and data visualization tools.

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