Data Product Engineer

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $172,100–$258,600 / yr
Posted: 48 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $166k

This role $215k

$110k most similar roles pay here $275k

This role pays more than 81% of similar roles. Most pay $126,800–$206,187 — the shaded band above. At the midpoint, this role pays about $215k versus about $166k 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 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · Data Product Engineer

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As a Data Product Engineer at Apple's Finance organization, you will join an emerging team responsible for defining and delivering high-impact data products that support internal reporting, audit compliance, and AI-driven forecasting. Your role involves crafting the vision and roadmap for finance data products, collaborating with stakeholders to translate financial concepts into scalable data models, and ensuring alignment with regulatory standards like SOX and GAAP/IFRS. You will work closely with architects and engineers to design canonical data models using tools such as Snowflake, Databricks, dbt, and semantic layers like Cube or AtScale, while also defining data quality rules and governance frameworks. The ideal candidate has a strong product mindset, experience in finance or fintech, and proficiency in SQL, cloud platforms, and data transformation frameworks.

Skills

Snowflake Databricks dbt DataHub Collibra Cube AtScale SQL CI/CD Kubernetes Python PostgreSQL AWS Azure GCP Git Jira Confluence Swagger RESTful APIs JSON XML

What you'll do

Define vision, strategy, and roadmap for finance data products aligned with business priorities.
Translate financial concepts into scalable, governed data models ensuring alignment with regulatory standards.
Design canonical data models and semantic layers to ensure consistency and interoperability of data products.
Work with data engineering teams to translate product requirements into technical specifications and deliverables.
Define and enforce data quality rules and governance standards using tools like DataHub or Collibra.

What we're looking for

5+ years experience in data, product management, analytics, or engineering roles, preferably in finance
BS/BA degree in Computer Science, Business, Finance, or related field
Strong product mindset with experience owning and scaling data products
Expertise in cloud data platforms (Snowflake, Databricks)
Proficiency in SQL and data transformation frameworks like dbt
Knowledge of data catalogs and governance tools (DataHub, Collibra)
Familiarity with semantic layer tools (Cube, AtScale)

Hybrid

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Data Engineer

Booz Allen Hamilton

Fayetteville, NC 70 days ago $77,500–$176,000

ETL ELT data pipelines batch processing streaming workflows data catalog API integration OAuth2 Python SQL CI/CD

Hybrid

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