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The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent, and architecturally sound solutions that are aligned with business needs.

This role requires working cross-functionally with business users, IS&T, data scientists and other engineers to develop and deploy data services and pipelines. An ability to acquire knowledge of Finance business processes is important.

You will be working in an enterprise data warehouse and lakehouse environments to help identify and combine data in an efficient, scalable manner to help answer business questions.

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

Preferred Qualifications

Effective Python, shell and SQL programmer

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 with the data development lifecycle and its associated 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 a plus

Ability to implement data and automation services via RESTful interfaces

Appreciation for data quality and validation in every pipeline

Finance and accounting process experience a plus

Minimum Qualifications

5+ years of relevant Data Engineering experience

Undergraduate degree in Computer Science, MIS, Engineering, Mathematics or other quantitative discipline required with five or more years of experience

Pay & Benefits

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, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as 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.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology

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