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. You will be supporting critical Financial close and automation initiatives. 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.

• 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 interfaces
Collaborate with other engineers to define and adopt best practices for data and machine learning engineering
Identify and review capabilities of emerging technologies and to enable the adoption of these new technologies and associated techniques

2+ more years of experience within Data EngineeringUndergraduate degree in Computer Science, MIS, Engineering, Mathematics or other quantitative discipline