Data Engineer

Apple Inc

Quick summary

Work type: On-site
Location: Austin, TX
Posted: 60 days ago
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $166k

$109k most similar roles pay here $216k

This listing doesn't post a salary. Most similar roles pay $126,800–$205,725.

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.

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At a glance

TL;DR · Data Engineer

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As a Data Software Engineer at Apple’s Silicon Technology 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 developing robust data pipelines, optimizing database performance, and ensuring data quality through monitoring frameworks. You will collaborate closely with data scientists and analysts to integrate machine learning models into production environments while troubleshooting complex data issues. The ideal candidate possesses extensive experience in software development, particularly in data systems, and is proficient in Python, Oracle SQL, and Linux. Familiarity with Cassandra NoSQL databases, MLOps practices, and data visualization tools is a plus, as you will work within the high-stakes environment of semiconductor R&D and manufacturing.

Skills

Python Oracle SQL Cassandra Linux Git CI/CD MLOps Data Visualization Business Intelligence Platforms Kafka Hadoop Spark PostgreSQL Docker Kubernetes Terraform AWS Azure Google Cloud

What you'll do

Design and implement scalable data pipelines and processing systems.
Parse and process text logs and STDF for data analysis.
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

Bachelor’s degree plus at least 3 years of relevant experience in software development.
Proficiency in Python programming and Oracle SQL.
Experience designing and optimizing database performance and query efficiency.
Strong problem-solving skills and familiarity with Linux operating systems.
Expertise in developing scalable data pipelines and processing systems.
Knowledge of machine learning workflows and MLOps practices preferred.

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