Data Engineer

Apple Inc

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: San Diego, CA
Salary: $137,500–$250,700 / yr
Posted: 152 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $169k

This role $194k

$113k most similar roles pay here $266k

This role pays more than 63% of similar roles. Most pay $127,325–$211,200 — the shaded band above. At the midpoint, this role pays about $194k 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.

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At a glance

TL;DR · Data Engineer

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As a Data Engineer within the Silicon Technologies group, you will join the Productization Data Tools team to design, develop, and maintain scalable data infrastructure and software systems. You will be responsible for constructing robust data pipelines, optimizing processing workflows, and ensuring data quality across systems that underpin the productization of semiconductors for various devices. Your daily work involves parsing text logs and STDF files, improving database performance, and collaborating with data scientists to productize machine learning models. The role requires proficiency in Python, Oracle SQL, Linux operating systems, and Git version control. You may also utilize Cassandra NoSQL databases and experience with MLOps practices. This position addresses the technical challenge of managing extensive datasets within a semiconductor manufacturing and high-tech research environment to provide actionable insights for hardware development.

What does a Data Engineer earn in California?

Median $199800 from 35 postings across 19 companies.

See salary data

Skills

Python Oracle SQL Cassandra Linux Git Data Pipelines MLOps Machine Learning Data Architecture SQL NoSQL Data Visualization Business Intelligence STDF Software Engineering Data Engineering

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 scalable data infrastructure 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 with a degree.
Three or more years of experience in software development focused 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 Git version control.
Familiarity with Cassandra NoSQL, machine learning workflows (MLOps), and data visualization tools.

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