Data Engineer, Operations Finance

Apple is hiring a Data Engineer, Operations Finance to help power a financial data platform focused on logistics costing and forecasting. This onsite role in Sunnyvale, CA supports a modernization effort across operations finance, bringing together process reengineering, scalable data engineering, and automation for reporting and AI/GenAI workloads.

In this position, you will work at the intersection of finance operations and data infrastructure, translating logistics and supply chain finance needs into foundational data structures. You will also build and maintain high-performance pipelines and data models designed for analytics and AI/GenAI use cases, including vector-ready foundations for agentic and generative applications.

What you’ll do

• Understand and document finance processes in the logistics and supply chain space.
• Spot process reengineering and automation opportunities to drive measurable efficiency improvements.
• Collaborate with financial analysts, engineers, and operations experts to define data needs and translate them into scalable data foundation structures.
• Build scalable, flexible, high-performance data pipelines optimized for analytics, reporting, and AI/GenAI workloads.
• Apply best practices in data modeling, governance, lineage, quality, and documentation to improve trust and consistency across the data ecosystem.
• Partner with cross-functional engineering teams to develop and support vector-ready data models, feature pipelines, metadata systems, and other foundations needed for agentic and GenAI applications.
• Design and build scalable data models and modern Data and Business solutions, including using tools such as Dataiku.

Minimum qualifications

• At least 5 years of experience as a data engineer delivering end-to-end data pipelines.
• A Bachelor’s degree in Computer Science, Information Systems, or an equivalent field.
• Advanced SQL skills for complex transformations, optimization, and troubleshooting.
• Python proficiency, with comfort writing clean, maintainable Python for data pipelines and automation.

Technologies you may work with

• Dataiku
• Data and Business solutions
• Agentic/GenAI and AI/GenAI
• Vector-ready data models
• Snowflake
• PostgreSQL
• Airflow
• Jenkins
• CI/CD tools
• Python and SQL

Pay and benefits

• Base pay range: $149,200 to $249,000 per year.
• Base pay is determined within the range based on skills, qualifications, experience, and location.
• Comprehensive medical and dental coverage.
• Retirement benefits.
• Discounted products and free services.
• Reimbursement for certain educational expenses, including tuition.
• Discretionary bonuses or commission payments and potential relocation (discretionary and eligibility-dependent).
• Opportunity to become an Apple shareholder via participation in Apple’s discretionary employee stock programs.
• Eligible for discretionary restricted stock unit awards.
• Ability to purchase Apple stock at a discount through the Employee Stock Purchase Plan (voluntary participation subject to plan terms).
• Apple benefit, compensation, and employee stock programs are subject to eligibility requirements and the terms of the applicable plan or program.

Preferred qualifications

• Experience using scheduling systems and CI/CD tools such as Airflow, Jenkins, and similar tools.
• Hands-on experience with relational databases such as Snowflake, PostgreSQL, or comparable cloud data warehouses.
• Knowledge of Supply Chain, Logistics, Finance, and Accounting processes.
• Strong communication skills and the ability to work independently.