Senior Software Engineer, Strategic Data Solutions

Apple Inc

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Austin, TX
Salary
$216,200–$324,800 / yr
Posted
89 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $168k
This role $270k
$95k $349k
below market most similar roles pay here above market

This role pays more than 99% of similar roles. Most pay $149,500–$186,300 — the blue band above. At the midpoint, this role pays about $270k versus about $168k for comparable roles.

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 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer, Strategic Data Solutions

The Senior Software Engineer - Strategic Data Solutions joins the Strategic Data Solutions team to build an environment for groundbreaking data analysis over petabytes of data. This role involves leading the design and implementation of systems and tools to support machine learning initiatives for retail and fraud prevention efforts. Key responsibilities include developing production software, designing system architecture, driving infrastructure needs with external teams, and providing technical leadership for data scientists. The position requires expertise in Java or Python, big data, ETL data pipelines, and messaging systems like Kafka. Candidates should also possess experience with AWS, GCP, or cloud-based systems, Docker, Kubernetes, relational and NoSQL databases, and the full software development lifecycle to improve efficiency and stability in fraud analytics.

What does a Software Engineer earn in Texas?

Median $178175 from 187 postings across 44 companies.

See salary data

What you'll do

  • Develop and implement production software for retail machine learning initiatives and fraud prevention.
  • Design and lead the architecture for systems supporting machine learning initiatives.
  • Coordinate with external infrastructure teams to develop and fulfill infrastructure requirements.
  • Implement process improvements to increase efficiency and stability in fraud analytics.
  • Provide technical leadership for a team of data scientists.
  • Manage release engineering and machine learning operations (MLOps).
  • Identify and build automated tools to improve existing software processes.

What we're looking for

  • BS or advanced degree in Computer Science, a related field, or equivalent experience.
  • Mastery of Java, Python, or an equivalent language.
  • 8+ years of experience in software engineering or data science.
  • Experience with Big Data and building ETL data pipelines.
  • Experience with messaging systems such as Kafka.
  • Experience building data science or data analysis tools on AWS, GCP, or cloud-based systems.
  • Experience with Docker, Kubernetes, or cloud platform deployment (preferred).
  • Experience with Relational and NoSQL databases (preferred).

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