PART Data Applications Engineer
Core
Design, build, and deploy lightweight web interfaces and data tools to streamline financial analysis, reporting, and decision-making for Apple's Finance analysts.
Role type
Senior IC Data Applications Engineer (Finance)
Builds
Production data applications and AI-powered experiences for financial workflows
Domain
Finance / Data Engineering / Applied AI
Deliverable
production ML models | product features
Required skills
Python, Streamlit, SQL, Relational Databases, Data Lake/Lakehouse, Git, CI/CD, Observability, Software Engineering Fundamentals
Preferred skills
LLM APIs, RAG, Agent Frameworks, FastAPI, React, Data Visualization Libraries, Data Warehousing, Cloud Platforms, Containerization
Technologies
Streamlit, Python, SQL Server, PostgreSQL, AWS, Azure, GCP, Docker, Kubernetes, OpenAI, Anthropic, FastAPI, React, Plotly, Matplotlib, Seaborn
Responsibilities
Own complex projects end-to-end from discovery to maintenance; Partner with financial analysts to identify automation opportunities; Design and deploy data applications; Lead team adoption of AI in engineering and products; Coach analysts on AI application; Write clean, documented Python; Connect applications to diverse data sources; Architect for reliability; Gather user feedback and iterate; Partner with data scientists to integrate ML models; Set technical standards and mentor engineers; Document architecture and specifications
Seniority
Senior, hands-on IC