Finance Data Engineer

The Finance Data Engineer role focuses on building data interfaces, pipelines, and code that support innovative data products for Apple Finance. This position emphasizes dependable, accurate, and consistent data solutions across enterprise data warehouse and lakehouse environments, with cross-functional collaboration to deliver data services.

Responsibilities

• Partner with data scientists, machine learning engineers, software engineers, and business stakeholders to identify data needs and to capture, collect, load, and format data from external sources, internal systems, and the data warehouse.
• Design, validate, deploy, monitor, document, and troubleshoot data pipelines and feature-ready datasets.
• Coordinate with other engineers to establish and adopt best practices for translating finance use cases into data requirements, schemas, and retrieval patterns for RAG, agents, and other LLM workflows.
• Evaluate emerging technologies and contribute to decisions that enable adoption of new tools 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.

Technologies

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

Preferred Qualifications

• Effective 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 components and tooling (Jenkins, Git, other).
• Exposure to cloud storage and orchestration tooling such as AWS and Kubernetes.
• Experience with streaming interfaces and pipelines (plus).
• Ability to implement data and automation services via RESTful interfaces.
• Strong focus on data quality and validation within each pipeline.
• Finance and accounting process experience (plus).

Location and Work Mode

Cupertino, CA (onsite)

Compensation

• Base pay range: USD 149,200 to 249,000 per year
• Base pay depends on skills, qualifications, experience, and location.

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 and 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 if voluntarily participating in the Apple Employee Stock Purchase Plan

Additional Notes

At Apple, base pay is one part of a total compensation package and is determined within a range.