Data Product Engineer

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $172,100–$258,600 / yr
Posted: today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $161k

This role $215k

$89k most similar roles pay here $277k

This role pays more than 85% of similar roles. Most pay $126,800–$194,812 — the shaded band above. At the midpoint, this role pays about $215k versus about $161k 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 351 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 246 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Data Product Engineer

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As a Data Product Engineer at Apple's Finance Transformation team, you will play a pivotal role in shaping the future of internal finance tools by developing high-quality data products that drive business outcomes. This senior-level position requires expertise in both product management and engineering to define and deliver scalable data solutions for FP&A, controllership, and treasury teams. You will collaborate with stakeholders to translate financial processes into technical specifications, ensuring compliance with regulatory standards like SOX and GAAP/IFRS. Key responsibilities include designing canonical data models, implementing transformation pipelines using dbt, and leveraging tools such as Snowflake, Databricks, Cube, AtScale, DataHub, and Collibra for metadata management and governance. Ideal candidates possess a strong background in finance processes, cloud data platforms, SQL, and data quality practices, with the ability to bridge business and technical teams effectively.

Skills

Snowflake Databricks dbt DataHub Collibra Cube AtScale SQL CI/CD Kubernetes AWS GCP Azure Python SOX GAAP IFRS

What you'll do

Define vision, strategy, and roadmap for finance data products aligned with business priorities.
Partner with finance stakeholders to translate financial concepts into scalable, governed data models.
Design canonical data models and semantic layers ensuring consistency across platforms like Snowflake and Databricks.
Translate product requirements into technical specifications and deliverables for data pipelines.
Define and enforce data quality rules and governance standards using tools such as DataHub or Collibra.

What we're looking for

5+ years of data engineering or product management experience in finance or fintech.
BS/BA degree in Computer Science, Business, Finance, or related field required.
Strong product mindset with proven ability to own and scale data products.
Expertise in cloud data platforms like Snowflake and Databricks.
Proficiency in SQL and data transformation frameworks such as dbt.
Knowledge of finance processes including GL, P&L, forecasting, and reporting.

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