Finance Data Engineer

Build data products that support Apple Finance by designing and operating reliable data interfaces, pipelines, and code that help deliver accurate, consistent insights. This onsite role in Cupertino, CA partners closely with scientists, engineers, and business teams to translate finance needs into durable data solutions across enterprise warehouse and lakehouse environments.

At Apple, base pay is one part of a total compensation package. The base pay range for this role is USD 149,200 - 249,000 per year, depending on skills, qualifications, experience, and location.

What you’ll do

• Partner with data scientists, machine learning engineers, software engineers, and business partners to identify, capture, collect, load, and format data from external sources, internal systems, and the data warehouse.
• Develop, test, deploy, monitor, document, and troubleshoot data pipelines and feature-ready datasets.
• Work with other engineers to define and adopt best practices that translate finance use cases into data requirements, schemas, and retrieval patterns for RAG, agents, and other LLM workflows.
• Evaluate emerging technologies and enable adoption of new capabilities and associated techniques.

Requirements

• 5+ years of relevant Data Engineering experience.
• An undergraduate degree in Computer Science, MIS, Engineering, Mathematics, or another quantitative discipline, with five or more years of experience.

Tech stack

Python, shell, SQL, Snowflake, S3, AWS, Kubernetes, Jenkins, Git, RESTful interfaces, and CI/CD.

Preferred qualifications

• Effective programming with Python, shell, and SQL.
• Hands-on database design and architecture experience in cloud data warehouses (Snowflake) and lakehouse environments (S3).
• Ability to implement end-to-end encryption and decryption policies for sensitive data pipelines and semantic views or other data sources.
• Experience with the data development lifecycle, including CI/CD and version control tooling such as Jenkins, Git, and other tools.
• Exposure to cloud storage and orchestration tooling such as AWS and Kubernetes.
• Streaming interfaces and pipelines experience is a plus.
• Ability to implement data and automation services via RESTful interfaces.
• Strong appreciation for data quality and validation across pipelines.
• Finance and accounting process experience is a plus.

Benefits

• Comprehensive medical and dental coverage.
• Retirement benefits.
• Discounted products and free services.
• Reimbursement for certain educational expenses, including tuition.
• Discretionary bonuses or commission payments, as well as relocation.
• Apple shareholder opportunity through participation in Apple’s discretionary employee stock programs.
• Eligibility for discretionary restricted stock unit awards.
• Ability to purchase Apple stock at a discount via the Apple Employee Stock Purchase Plan (voluntary).