Software Engineer - Strategic Data Solutions

Apple Inc

Quick summary

Work type
On-site
Location
Austin, TX
Posted
31 days ago

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Salary context

How this pay compares to similar roles

Similar $166k
$118k most similar roles pay here $216k

This listing doesn't post a salary. Most similar roles pay $127,887–$203,650.

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 969 open roles on FindRole.

Listed pay typically runs $163,300–$272,100 across 756 roles with salary data.

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At a glance

TL;DR · Software Engineer - Strategic Data Solutions

As a Software Engineer on Apple’s Strategic Data Solutions (SDS) team, you will play a pivotal role in developing innovative systems and tools to prevent fraud across the company. Working closely with machine learning engineers and other software developers, your responsibilities include designing and implementing production software for fraud prevention, leading system architecture design, and collaborating with external infrastructure teams to drive development needs. You will innovate by identifying opportunities for automation and tool improvements, develop process enhancements for efficiency and stability in fraud analytics, and provide technical leadership to a team of data scientists. The ideal candidate has 4+ years of experience in software engineering or data science, expertise in Python, Java, Scala, C++, and familiarity with Hadoop/cloud-based systems, Docker, Kubernetes, and various database technologies. This role offers the opportunity to work on large-scale data analysis over petabytes of data, contributing to a dynamic team that constantly learns and solves complex business problems.

What you'll do

  • Develop and implement production software for preventing fraud.
  • Design system architecture for scalable data analysis tools.
  • Drive development of infrastructure needs with external teams.
  • Innovate by automating processes and improving analytical tools.
  • Lead technical leadership for a team of data scientists.
  • Enhance the maturity and skill level in analytical software development.
  • Manage release engineering to ensure efficient and stable fraud analytics.

What we're looking for

  • BS or advanced degree in Computer Science or equivalent experience.
  • 4+ years of software engineering/data science experience.
  • Mastery of Python, Java, Scala, C++, or similar language.
  • Experience building data analysis tools on Hadoop/cloud systems.
  • Familiarity with Docker, Kubernetes, and cloud platform deployment.
  • Understanding of relational databases and NoSQL databases.
  • Strong problem-solving skills and ability to apply new technologies.

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