Senior Software Engineer, Strategic Data Solutions

Apple Inc

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Austin, TX
Posted: 43 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $172k

$106k most similar roles pay here $246k

This listing doesn't post a salary. Most similar roles pay $149,500–$193,900.

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 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 · Senior Software Engineer, Strategic Data Solutions

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As a Senior Software Engineer - Strategic Data Solutions, you will join the Strategic Data Solutions team to build scalable systems and tools that enable groundbreaking data analysis over petabytes of information. You will work alongside machine learning engineers to design and implement production software for retail initiatives and fraud prevention efforts. Your daily responsibilities include designing system architecture, driving infrastructure development with external teams, automating processes, and providing technical leadership for a team of data scientists while managing release engineering and ML operations. To succeed in this role, you must possess mastery in Java or Python, experience building ETL pipelines and messaging systems like Kafka, and expertise in developing tools on AWS, GCP, or other cloud platforms. You will also utilize Docker, Kubernetes, and both relational and NoSQL databases to solve complex fraud analytics problems.

What does a Software Engineer earn in Texas?

Median $186925 from 189 postings across 40 companies.

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Skills

Python Java Big Data Kafka AWS GCP Docker Kubernetes NoSQL System Architecture

What you'll do

Develop and implement production software for retail machine learning initiatives and fraud prevention.
Design system architectures to support large-scale data analysis and infrastructure needs.
Collaborate with infrastructure teams to drive the development of necessary backend systems.
Identify and implement automation opportunities and tool improvements to increase operational efficiency.
Lead technical development and provide guidance for a team of data scientists.
Manage release engineering and machine learning operations (MLOps) workflows.
Improve the maturity and skill level of the team in analytical software development.

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 programming 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 other cloud-based systems.
Experience with Docker, Kubernetes, or cloud platform deployment.
Experience with relational databases and NoSQL databases.

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