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Salary
≈ $237k – $478k per year (Estimated)
Location
In office (Sunnyvale)
Seniority
Staff · 8+ years exp
Visa
H-1B filings in 12 months: 6,350 · for this role: 304 · green card filings: 37

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Oct 12, 2026. Apple scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Apple is an American multinational technology company founded in 1976 by Steve Jobs, Steve Wozniak and Ronald Wayne, and headquartered in Cupertino, California. It designs and sells consumer hardware including the iPhone, Mac, iPad, Apple Watch, AirPods and Vision Pro, together with the operating systems and silicon that run them. A growing services division built around the App Store, iCloud, Apple Music, Apple TV+ and Apple Pay now contributes a large share of profit, making Apple one of the most valuable companies in the world.

We are seeking a hands-on Engineering Manager to lead Finance Data and AI Engineering initiatives, building scalable, high-performance financial data systems that power reporting, analytics, and AI-driven transformation.

This role is execution-focused: leading a team of engineers to build, optimize, and modernize financial data systems that directly support Finance's business operations and innovation initiatives. The ideal candidate combines deep data engineering expertise, solid software engineering fundamentals, and strong collaboration with Finance stakeholders.

Description

You will be responsible for designing and delivering robust financial data solutions across modern data platforms - including cloud data environments and enterprise databases such as SAP HANA - while applying strong software engineering principles to ensure scalability, reliability, and performance.

Minimum Qualifications

Bachelor’s degree in Computer Science, Information Systems, or equivalent

8-12 years of experience in data engineering or software engineering

5+ years of engineering management experience

Strong experience in: Data modeling and transformation, Distributed data platforms or enterprise databases, Software engineering best practices

Experience developing strategies for data preparation and feature engineering to support large-scale AI and Machine Learning initiatives

Preferred Qualifications

Experience driving the implementation of data governance and quality standards

Strong stakeholder management skills in Finance or enterprise functions

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