Finance Data Engineer

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$146,300–$244,100 / yr
Posted
5 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $163k
This role $195k
$111k most similar roles pay here $258k

This role pays more than 73% of similar roles. Most pay $126,800–$199,900 — the shaded band above. At the midpoint, this role pays about $195k versus about $163k 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 1777 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1443 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Finance Data Engineer

As a Finance Data Engineer at Apple, you will join the Corporate Functions team as a senior-level professional tasked with building robust data interfaces and pipelines that drive innovative financial solutions. Your daily responsibilities include collaborating closely with data scientists, machine learning engineers, software engineers, and business partners to design and deploy efficient data services in enterprise data warehouse and lakehouse environments. You will develop and maintain data pipelines using Python, shell scripts, and SQL, ensuring they are scalable and secure while adhering to best practices for data encryption and quality control. Familiarity with cloud platforms like Snowflake and AWS, as well as tools such as Jenkins and Git, is essential, along with experience in implementing RESTful interfaces and streaming pipelines. This role requires a deep understanding of finance business processes and the ability to translate complex use cases into actionable data requirements.

What you'll do

  • Develop and deploy data pipelines to capture and format data from various sources.
  • Test and troubleshoot data pipelines and feature-ready datasets for accuracy.
  • Define and adopt best practices for translating finance use cases into data requirements.
  • Identify and enable the adoption of emerging technologies in data engineering.
  • Implement end-to-end encryption policies for sensitive data pipelines.

What we're looking for

  • 5+ years of data engineering experience in a technical role
  • Strong proficiency in Python, shell scripting, and SQL programming
  • Hands-on expertise with cloud data warehouses (Snowflake) and lakehouse environments
  • Experience implementing end-to-end encryption policies for sensitive data pipelines
  • Familiarity with CI/CD processes and version control tools like Jenkins and Git
  • Knowledge of cloud storage and orchestration tools such as AWS and Kubernetes

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