Data Engineer, Operations Finance

Apple Inc

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Sunnyvale, CA
Salary
$149,200–$249,000 / yr
Posted
4 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

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

This role pays more than 71% of similar roles. Most pay $126,800–$211,200 — the blue 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 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · Data Engineer, Operations Finance

The Data Engineer, Operations Finance joins the Operations Finance team to drive the financial data platform forward. This role involves understanding, documenting, and re-engineering logistics costing and forecast processes to support finance activities. You will design and build scalable data models, high-performance data pipelines, and automation solutions to improve reporting efficiency and data transparency. Key responsibilities include implementing best practices in data modeling, governance, and lineage while partnering with engineering teams to create Agentic and GenAI applications. You will utilize a technical stack including SQL, Python, Dataiku, and relational databases like Snowflake or PostgreSQL. Additionally, you may use scheduling systems and CI/CD tools like Airflow and Jenkins. The work focuses on solving complex logistics and supply chain finance problems through modern data systems.

What does a Data Engineer earn in California?

Median $187700 from 41 postings across 21 companies.

See salary data

What you'll do

  • Document and re-engineer logistics costing and forecast processes to improve efficiency.
  • Build scalable, high-performance data pipelines for analytics, reporting, and AI workloads.
  • Design and implement flexible data models that support Agentic and GenAI applications.
  • Translate business data needs into scalable foundational data structures.
  • Implement best practices for data modeling, governance, lineage, and quality.
  • Develop automation solutions to improve reporting efficiency and data transparency.
  • Create vector-ready data models and feature pipelines for cross-functional engineering projects.

What we're looking for

  • Minimum of 5 years of experience as a data engineer building end-to-end data pipelines.
  • Bachelor’s degree in Computer Science, Information Systems, or equivalent.
  • Advanced SQL skills for complex transformations, optimization, and troubleshooting.
  • Python proficiency for writing clean, maintainable code for data pipelines and automation.
  • Experience with scheduling systems and CI/CD tools such as Airflow or Jenkins (preferred).
  • Hands-on experience with relational database management systems like Snowflake or PostgreSQL (preferred).
  • Knowledge of Supply Chain, Logistics, Finance, and Accounting processes (preferred).
  • Excellent communication skills and the ability to work independently (preferred).

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