Data Engineer, Operations Finance

Apple Inc

Quick summary

Work type: On-site
Location: Sunnyvale, CA
Salary: $146,300–$244,100 / yr
Posted: 38 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $171k

This role $195k

$113k most similar roles pay here $258k

This role pays more than 65% of similar roles. Most pay $126,800–$214,712 — the shaded band above. At the midpoint, this role pays about $195k versus about $171k 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 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Data Engineer, Operations Finance

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Join the Operations Finance team as a Data Engineer where you will drive financial data platform advancements by understanding and documenting logistics costing and forecasting processes. You’ll collaborate with engineering teams to build automation solutions using tools like Dataiku and develop Agentic/GenAI applications for enhanced reporting efficiency. Your daily tasks include designing scalable data models, implementing best practices in data governance, and partnering with cross-functional teams to support strategic decision-making. Required skills include 5+ years of experience building end-to-end data pipelines, advanced SQL capabilities, Python proficiency, and a Bachelor’s degree in Computer Science or related field. Experience with cloud data warehouses like Snowflake and CI/CD tools such as Jenkins is preferred. This role offers the opportunity to work on large-scale data analysis and improve data transparency within Apple's logistics and supply chain finance operations.

Skills

Dataiku Python SQL Airflow Jenkins Snowflake PostgreSQL CI/CD Docker Kubernetes AWS GCP Azure Prometheus Grafana Git Terraform

What you'll do

Design and build scalable data models to support logistics finance activities.
Implement process reengineering and automation to improve efficiency in finance operations.
Develop high-performance data pipelines optimized for analytics and AI workloads.
Partner with engineering teams to create Agentic/GenAI applications for reporting.
Ensure data quality, governance, and lineage through best practices and documentation.
Collaborate with financial analysts and operations experts to understand data needs.

What we're looking for

5+ years of experience as a data engineer building end-to-end data pipelines
Bachelor’s degree in Computer Science, Information Systems, or equivalent field
Advanced SQL skills for complex transformations and optimization
Proficiency in Python for writing clean, maintainable code for data pipelines
Experience with relational database management systems like Snowflake or PostgreSQL
Hands-on experience with scheduling systems and CI/CD tools such as Airflow, Jenkins
Strong understanding of supply chain, logistics, finance processes (preferred)

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