Finance Data Engineer

Build reliable finance data foundations that power innovative data products for Apple Finance. In this onsite role in Cupertino, you will design data interfaces, pipelines, and code that enable accurate, consistent data solutions across enterprise data warehouse and lakehouse environments, while collaborating with engineers and business partners to deploy data services that meet real finance needs.

As a Finance Data Engineer, you will focus on end-to-end delivery: capturing and formatting data from multiple systems, developing and maintaining pipelines and feature-ready datasets, and supporting the translation of finance use cases into data requirements, schemas, and retrieval patterns for RAG, agents, and other LLM workflows.

Responsibilities

• Collaborate 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 for translating finance use cases into data requirements, schemas, and retrieval patterns for RAG, agents, and other LLM workflows.
• Identify and review emerging technologies and help enable adoption of new technologies and associated techniques.

Requirements

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

Preferred Qualifications

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

Technologies

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

Compensation and Benefits

Base pay range: USD 149,200 to 249,000 per year. Base pay depends on skills, qualifications, experience, and location. Base pay is one part of a total compensation package.

• Comprehensive medical and dental coverage
• Retirement benefits
• Discounted products and free services
• Reimbursement for certain educational expenses, including tuition
• Discretionary bonuses or commission payments, plus relocation
• Eligibility for Apple shareholder opportunity through discretionary employee stock programs
• Eligibility for discretionary restricted stock unit awards
• Ability to purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan