Data Engineer, Operations Finance
- Location
- Sunnyvale · On-site
- Job type
- Full-time
- Level
- Senior
- Experience
- 5+ years
- Education
- Bachelor's degree
- Listed
- 13 days ago
Skills & highlights for this role
- Advanced SQL
- Python
- End-to-end data pipeline development
- Data modeling
- Data querying
- Large-scale data analysis
- Process documentation and reengineering
- Cross-functional collaboration
Also useful
- Airflow
- Jenkins
- CI/CD tools
- Snowflake
- PostgreSQL
- Cloud data warehouses
- Supply chain knowledge
- Logistics knowledge
Summary
The Operations Finance team is looking for a passionate and highly motivated Data Engineer to drive our financial data platform forward. We work with logistics and supply-chain business to understand current and future processes and systems, and its impact on finance activities including costing and forecasting. We also work with engineering teams to build finance data platforms and automation solutions to support logistics business.
If you thrive in a fast-moving, collaborative environment and want to solve complex problems with new technology-driven data systems, we’d love to hear from you.
About the role
Operations Finance Data Engineer role requires you understand, document and re-engineer Apple's logistics costing and forecast processes, while bringing strong technical expertise in data querying, dashboard development, and large-scale data analysis. You’ll design and build scalable data models, modern Data & Business solutions leveraging tools such as Dataiku, partner with engineering teams to create Agentic/GenAI applications to improve reporting efficiency, enhance data transparency, and support strategic decision-making.
This is a hands-on role working closely with logistics & supply chain finance business partners and cross-functional engineering teams, while also making recommendations to senior leadership. Your work will strengthen data quality, drive automation, and unlock new capabilities at scale.
Responsibilities
- Understand and document finance processes in the logistics & supply chain space.
- Identify and implement process reengineering and automation opportunities to drive efficiency gains.
- Collaborate with financial analysts, engineers, and operations experts to understand data needs and translate them into scalable data foundational structures.
- Build scalable, flexible, and high-performance data pipelines optimized for analytics, reporting, and AI/GenAI workloads.
- Implement best practices in data modeling, governance, lineage, quality, and documentation to drive trust and consistency across the data ecosystem.
- Partner with cross-functional engineering teams to build and support vector-ready data models, feature pipelines, metadata systems, and other foundations required for Agentic & GenAI applications.
Minimum Qualifications
- Minimum of 5 years of working 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, comfortable writing clean, maintainable Python for data pipelines and automation
Preferred Qualifications
- Experience with scheduling systems and CI/CD tools such as Airflow, Jenkins, etc.
- Hands-on experience working with relational database management system such as Snowflake, PostgreSQL or similar cloud data warehouses
- Supply Chain, Logistics, Finance and Accounting process knowledge is a plus
- Excellent communication skills and ability to work independently
From Apple's careers page, first listed on Rolev.ai on October 27, 2026. Rolev.ai is not the employer.
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Common questions
Where is the Data Engineer, Operations Finance job at Apple located?
This Data Engineer, Operations Finance position at Apple is located in Sunnyvale (On-site). Always check Apple's application page for specific state eligibility or relocation policies.
What qualifications are required for Data Engineer, Operations Finance at Apple?
For the Data Engineer, Operations Finance role, Apple highlights 5+ years of relevant experience; a bachelor's degree; experience with Advanced SQL, Python, End-to-end data pipeline development, Data modeling, Data querying, Large-scale data analysis. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Data Engineer, Operations Finance position at Apple?
This listing links directly to Apple's application page. You can apply directly on Apple's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.