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# PART Data Applications Engineer

- **Company:** Apple Inc.
- **Location:** Cupertino, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Web Interfaces, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Code Review, Databases, Continuous Delivery, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Visualization, Data Warehousing, Relational Databases, Cursor (Graphical User Interface Elements), Programming Tools, Django Web Framework, Design of User Interfaces, Human-Computer Interaction, Python (Programming Language), PostgreSQL, Machine Learning, Microsoft SQL Server, Operational Databases, Software Engineering, Data Streaming, Web Applications, Web Application Frameworks, Web Services, Scripting, Google Cloud, ReactJS, Flask (Web Framework), Large Language Models, Git, Fastapi, Matplotlib, Containerization, Data Lakes, Kubernetes, Information Technology, Plotly, Streamlit Framework, Docker
- **Published:** August 21, 2026
- **Apply:** https://www.careerbuilder.com/job-details/part-data-applications-engineer-cupertino-ca--fffd61af-42e2-4c68-be17-3e3262fcfec7

## About the Role

engineering - and a clear point of view on where AI does and doesn't belong in business workflows Demonstrated use of AI-assisted development tools (e.g., Claude Code, Cursor, Copilot) to ship higher-quality software faster Experience with FastAPI (or Flask/Django) for building Python web services and APIs Experience with React or another modern front-end framework for building richer UIs beyond Streamlit Proficiency with data visualization libraries (Plotly, Matplotlib, Seaborn) and an eye for usable, well-designed UIs Solid grasp of data warehousing concepts and ETL/ELT design Experience leading projects or mentoring engineers in a senior IC capacity Experience shipping LLM-powered features to production (not just prototypes) Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes) Background working with Finance, FP&A, or Sales Finance teams Strong communication skills with the ability to translate between technical and business
contexts

Skills:
Amazon Web Services (AWS), Analysis Skills, Apple, Application Programming Interface (API), Artificial Intelligence (AI), Automation, Business Analysis, Channel Strategies, Cloud Computing, Coaching, Code Reviews, Communication Skills, Computer Science, Continuous Deployment/Delivery, Continuous Improvement, Continuous Integration, Customer/Client Research, Data Lake, Data Science, Data Visualization, Database Extract Transform and Load (ETL), Design Services, Diversity, Django, Docker, Ecosystems, Error Handling, Finance, Financial Analysis, Financial Planning and Analysis (FP&A), Financial Reporting, GCP (Good Clinical Practices), Git, Integrated Circuits (ICs), Internet Application, Leadership, MCP - Microsoft Certified Professional, Machine Tool, Mentoring, Microsoft SQL Server, Microsoft Windows Azure, PostgreSQL, Programming Tools, Project Engineering, Prototyping, Python Programming/Scripting Language, React.js, Relational Databases (RDBMS), Sales, Software Agents, Software
Development, Software Engineering, Team Lead/Manager, Technical Delivery, Testing, Usability Engineering, User Interface Design, User Interface/Experience (UI/UX), Web Interface, Web Services

## Description

problems. This role sits at the intersection of data engineering, software development, applied AI, and business analysis. You will design, build, and deploy lightweight web interfaces and data tools - primarily using Python frameworks like Streamlit - to streamline financial analysis, reporting, and decision-making. You'll also help lead our team's adoption of AI: both inside our own engineering practice and in the products we ship to analysts, helping them think through where AI can have the biggest impact in their own workflows. Success in this role requires someone who can quickly absorb complex financial processes, translate ambiguity into a technical roadmap, and deliver high-quality, user-friendly applications with minimal oversight - while raising the bar for the engineers and analysts around them.Own complex projects end-to-end with minimal direction - from discovery and scoping through design, development, deployment, and long-term maintenance Partner with financial analysts, security-by-default Gather user feedback and iterate to continuously improve usability and impact Partner with data scientists to integrate analytical and ML models into applications Set technical standards and mentor other engineers on the team Document applications, data flows, architecture decisions, and technical specifications3+ years in data engineering or software development, with a strong track record of shipping production data applications end-to-end Expert proficiency in Python and hands-on experience building and deploying web applications with Streamlit Strong experience with relational databases (e.g., SQL Server, PostgreSQL) and modern data lake / lakehouse environments Strong software engineering fundamentals: Git, code review, testing, CI/CD, observability BS in Computer Science, Data Science, Engineering, or a related fieldHands-on experience building with modern AI/LLM tooling - e.g., OpenAI / Anthropic APIs, RAG pipelines, agent frameworks, MCP, prompt


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