Finance Data Engineer

Apple Inc

Confirmed live 2 days ago Trusted

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$149,200–$249,000 / yr
Posted
93 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $169k
This role $199k
$112k most similar roles pay here $264k

This role pays more than 65% of similar roles. Most pay $126,800–$211,200 — the shaded band above. At the midpoint, this role pays about $199k versus about $169k 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 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 · Finance Data Engineer

The Finance Data Engineer serves as a technical expert within the Apple Finance team, where they create data interfaces, pipelines, and codebases to drive innovative data products. This role involves collaborating cross-functionally with business users, data scientists, and engineers to identify, collect, load, and format data from internal systems and external sources into enterprise warehouse and lakehouse environments. The engineer is responsible for developing, testing, deploying, and monitoring data pipelines while translating finance use cases into requirements for RAG, agents, and LLM workflows. Key technical skills include proficiency in Python, shell, and SQL, along with experience in Snowflake, S3, Jenkins, Git, AWS, and Kubernetes. The role focuses on solving complex business questions by building scalable solutions and implementing encryption policies for sensitive data within the finance domain.

What you'll do

  • Develop, test, deploy, and monitor data pipelines and feature-ready datasets.
  • Create data interfaces and codebases to drive innovative products for Apple Finance.
  • Collect and format data from external sources, internal systems, and the enterprise data warehouse.
  • Translate finance use cases into technical requirements, schemas, and retrieval patterns for LLM workflows.
  • Implement end-to-end encryption and decryption policies for sensitive data pipelines and semantic views.
  • Build automated data services via RESTful interfaces.
  • Identify and integrate emerging technologies to enhance data capabilities.
  • Ensure data quality and validation across all engineering pipelines.

What we're looking for

  • Must have at least 5 years of relevant Data Engineering experience.
  • Requires an undergraduate degree in Computer Science, MIS, Engineering, Mathematics, or another quantitative discipline.
  • Proficiency in Python, shell, and SQL programming is required.
  • Experience with database design and architecture in cloud data warehouses (Snowflake) and lakehouse environments (S3).
  • Ability to implement end-to-end encryption and decryption policies for sensitive data pipelines.
  • Experience with the data development lifecycle including CI/CD and version control tools like Jenkins and Git.
  • Exposure to cloud storage and orchestration tooling such as AWS and Kubernetes.
  • Ability to implement data and automation services via RESTful interfaces.

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