AI-Powered Data Apps Engineer for Finance

Apple Inc.

Culver City (CA)

On-site

USD 115,000 - 191,000

Full time

6 days ago
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Benefits offered by this job

Medical and dental coverage
Retirement benefits
Employee stock programs
Tuition reimbursement

Job summary

Apple Inc. is seeking a hands-on Data Engineer to join the Next-Gen Workflow team within the PART Data Operations group in Culver City. You will design and build data applications and AI-powered experiences that streamline finance analysis and reporting, working end-to-end with minimal oversight.

The role requires shipping production data apps, collaborating with Finance analysts and leadership, and mentoring peers while elevating software quality and reliability.

Qualifications

  • 3+ years in data engineering or software development with production data apps
  • BS in Computer Science, Data Science, Engineering, or related field

Responsibilities

  • Own complex projects end-to-end from discovery to deployment
  • Partner with analytics and Finance leadership to understand workflows and automate processes
  • Design, develop, and deploy data applications (Streamlit) to visualize data and automate tasks
  • Lead AI adoption, including LLM-powered features and intelligent automation
  • Coach analysts on AI use in workflows and prototype solutions together
  • Write clean Python, establish reusable patterns, and document data flows

Skills

Python
Streamlit
SQL
Git
CI/CD
Observability

Education

BS in Computer Science
Data Science or Engineering

Tools

Streamlit
FastAPI
React
Plotly
Docker
Kubernetes
OpenAI API

Job description

Apple Inc. is seeking a hands-on Data Engineer to join the Next-Gen Workflow team within the PART Data Operations group in Culver City. You will design and build data applications and AI-powered experiences that streamline finance analysis and reporting, working end-to-end with minimal oversight.

The role requires shipping production data apps, collaborating with Finance analysts and leadership, and mentoring peers while elevating software quality and reliability.

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