Software Engineer, Strategic Data Solutions

Apple Inc

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: Austin, TX
Posted: 124 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 software and services that enable compliance decisioning. You will work alongside machine learning engineers to design and implement robust, scalable systems for sanctions screening and anti-money laundering efforts. Your daily responsibilities include developing production software, designing architecture, collaborating with infrastructure teams to meet technical needs, and identifying opportunities for automation and process improvements. The role requires expertise in Python, Java, Scala, or C++, along with experience building analytics tools using Spark and modern cloud data lakehouses. Preferred skills include Docker, Kubernetes, relational and NoSQL databases, and a strong grasp of computer science fundamentals like data structures and algorithms. You will solve complex problems related to global regulatory compliance and financial crimes screening.

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++ Spark Docker Kubernetes NoSQL Cloud Data Lakehouses Release Engineering Data Structures Algorithms

What you'll do

Develop and implement production software for sanctions screening and anti-money laundering compliance.
Design robust, scalable software architectures that meet strict regulatory standards.
Collaborate with machine learning engineers to build tools for compliance decisioning.
Partner with infrastructure teams to drive the development of necessary backend systems.
Identify opportunities for automation and tool improvements to increase operational efficiency.
Drive process improvements to enhance stability in compliance analytics.
Lead initiatives to improve team maturity in analytical software development.
Manage release engineering responsibilities for production software.

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 analytics tools using modern cloud data lakehouses or distributed compute frameworks like Spark.
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).