Finance Data Engineer

Apple Inc

Quick summary

Work type
On-site
Location
Austin, TX
Posted
6 days ago

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Salary context

How this pay compares to similar roles

Similar $163k
$118k most similar roles pay here $209k

This listing doesn't post a salary. Most similar roles pay $126,800–$199,850.

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.

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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 responsible for building robust data pipelines and interfaces that support innovative financial data products. Your daily tasks include collaborating with data scientists, machine learning engineers, software engineers, and business partners to design, develop, test, deploy, and maintain scalable data solutions in enterprise data warehouse and lakehouse environments. You will leverage Python, SQL, and shell scripting to create efficient data pipelines and ensure end-to-end encryption for sensitive financial data. Additionally, you will work with cloud technologies like Snowflake, S3, AWS, and Kubernetes, as well as CI/CD tools such as Jenkins and Git, to streamline the development lifecycle and enhance data quality and validation practices. This role demands a deep understanding of finance business processes and emerging technologies to drive scalable and reliable solutions for complex financial use cases.

What you'll do

  • Develop, test, deploy, monitor, document and troubleshoot data pipelines.
  • Identify and capture data from external sources, internal systems, and the data warehouse.
  • Define and adopt best practices to translate finance use cases into data requirements.
  • Work with data scientists and engineers to develop feature-ready datasets for AI workflows.
  • Review emerging technologies and enable their adoption in enterprise data environments.

What we're looking for

  • 5+ years of relevant Data Engineering experience
  • Strong Python, shell scripting, and SQL programming skills
  • Experience with cloud data warehouses (Snowflake) and lakehouse environments
  • Knowledge of database design and architecture in enterprise settings
  • Familiarity with CI/CD processes and version control tools like Jenkins and Git
  • Understanding of end-to-end encryption policies for sensitive data pipelines
  • Exposure to cloud storage and orchestration tooling such as AWS and Kubernetes

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