Software Engineer, Strategic Data Solutions

Apple Inc

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Quick summary

Work type: On-site
Location: Austin, TX
Posted: 132 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $171k

$122k most similar roles pay here $217k

This listing doesn't post a salary. Most similar roles pay $135,000–$207,396.

Based on 240 similar postings.

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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 2000 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1613 roles with salary data.

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At a glance

TL;DR · Software Engineer, Strategic Data Solutions

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As a Software Engineer - Strategic Data Solutions, you will join the Strategic Data Solutions team to build systems and tools that enable groundbreaking data analysis over petabytes of information. You will work alongside machine learning engineers to design system architectures, develop production software for fraud prevention, and implement process improvements to enhance stability in fraud analytics. Your daily responsibilities include technical leadership for a team of data scientists, release engineering, and collaborating with infrastructure teams to meet development needs. The role requires mastery of Python, Java, Scala, or C++, along with experience building analysis tools on Hadoop or cloud-based systems. Preferred skills include proficiency with Docker, Kubernetes, relational and NoSQL databases, and a strong grasp of computer science fundamentals like data structures and algorithms to solve complex problems within the fraud prevention domain.

What does a Software Engineer earn in Texas?

Median $189710 from 210 postings across 40 companies.

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Skills

Python Java Scala C++ Hadoop Docker Kubernetes NoSQL System Architecture Release Engineering Data Science Data Analysis Automation

What you'll do

Develop and implement production software to prevent fraud across the company.
Design system architectures to support large-scale data analysis and fraud prevention efforts.
Collaborate with infrastructure teams to develop and manage necessary backend systems.
Identify and implement automation opportunities to improve tool functionality and efficiency.
Create process improvements to increase stability within fraud analytics workflows.
Provide technical leadership and guidance to a team of data scientists.
Mentor the team to improve their skills in analytical software development.
Manage release engineering tasks for production software and tools.

What we're looking for

BS or advanced degree in Computer Science, a related field, or equivalent experience.
Mastery of Python, Java, Scala, C++, or an equivalent language.
4+ years of experience in software engineering or data science.
Experience building data science or data analysis tools on Hadoop or cloud-based systems.
Experience with Docker, Kubernetes, or cloud platform deployment (preferred).
Experience with Relational databases and NoSQL databases (preferred).
Demonstrated understanding of the full software development lifecycle (preferred).
Solid grasp of computer science fundamentals including data structures and algorithms (preferred).