Data Engineer, Operations Finance

Apple Inc.; Sunnyvale (CA); Sur place; USD 149 000 - 249 000; Plein temps

Avantages offerts par ce poste

Medical & dental

Retirement benefits

Employee stock programs

Tuition reimbursement

Relocation

Bonuses/commissions

Résumé du poste

Apple Inc. in Sunnyvale is seeking an experienced Data Engineer for the Operations Finance data platform, focusing on logistics costing, forecasting, and scalable data models.

You will collaborate with logistics, finance, and engineering to build data pipelines and GenAI-enabled reporting tools to improve transparency and decision-making. This hands-on role emphasizes data quality, automation, and scalable architectures using Dataiku and cloud data warehouses such as Snowflake.

Qualifications

• Minimum 5 years of data engineer experience 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 data pipelines and automation.

Responsabilités

• 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 translate data needs into scalable structures.
• Build scalable, flexible data pipelines optimized for analytics, reporting, and AI/GenAI workloads.
• Implement best practices in data modeling, governance, lineage, quality, and documentation.
• Partner with cross-functional teams to support Agentic & GenAI applications.

Connaissances

SQL

Python

Data pipelines

Analytics

Formation

Bachelor's degree in Computer Science or related

Outils

Airflow

Snowflake

PostgreSQL

Description du poste

Sunnyvale, California, United States Operations and Supply Chain

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.

Description

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

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $149,200 and $249,000, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including:

• Comprehensive medical and dental coverage
• retirement benefits
• a range of discounted products and free services
• for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition
• discretionary bonuses or commission payments
• relocation

Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.