Data Engineer

Apple Inc

Quick summary

Work type: On-site
Location: San Diego, CA
Salary: $134,800–$245,800 / yr
Posted: 61 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $166k

This role $190k

$103k most similar roles pay here $261k

This role pays more than 65% of similar roles. Most pay $126,800–$205,725 — the shaded band above. At the midpoint, this role pays about $190k versus about $166k 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 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Data Engineer

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As a Data Software Engineer at Apple's Silicon Technologies group, you will join the Productization Data Tools team to design and maintain scalable data infrastructure for semiconductor productization across various devices. Your daily tasks include crafting robust data pipelines, optimizing database performance, and collaborating with data scientists to integrate machine learning models into production environments. You will ensure high-quality data governance and system reliability while working closely with cross-functional teams to address complex challenges in a fast-paced environment. The ideal candidate possesses extensive experience in software development, particularly in data systems, along with proficiency in Python, Oracle SQL, and Linux. Familiarity with tools like Cassandra NoSQL database, Git version control, and MLOps practices is highly beneficial for this role within the semiconductor industry.

Skills

Python Oracle SQL Linux Git Cassandra Machine Learning Data Visualization BI Platforms

What you'll do

Design and implement scalable data pipelines and processing systems.
Parse and process text logs and STDF for data integrity.
Develop and optimize database performance and query efficiency.
Implement data quality monitoring and validation frameworks.
Collaborate with data scientists to productize machine learning models.

What we're looking for

3+ years of experience in software development, focusing on data systems
Proficiency in Python programming and Oracle SQL
Experience with Linux operating systems and version control using Git
Strong problem-solving skills and analytical abilities
Familiarity with machine learning workflows and MLOps practices
Experience designing and optimizing database performance
Knowledge of Cassandra NoSQL database and data visualization tools

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