Data Engineer

Apple Inc

Confirmed live 2 days ago Trusted

Quick summary

Work type
On-site
Location
Austin, TX
Posted
153 days ago
Freshness
Confirmed live 2 days ago

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Salary context

How this pay compares to similar roles

Similar $169k
$117k most similar roles pay here $221k

This listing doesn't post a salary. Most similar roles pay $127,325–$211,200.

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

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 building robust data pipelines, optimizing processing workflows, and ensuring data quality across platforms that support 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 will also utilize Cassandra NoSQL databases and manage machine learning workflows. This position addresses the technical challenge of managing extensive datasets within a semiconductor manufacturing and high-tech research environment to derive valuable insights for hardware development.

What does a Data Engineer earn?

Median $183138 from 214 postings across 58 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 Git version control.
  • Experience with Cassandra NoSQL, machine learning workflows (MLOps), and data visualization tools.

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