PART Data Applications Engineer

The people here at Apple dont just create products they create the kind of wonder thats revolutionized entire industries. Its the diversity of those people and their ideas that inspires the innovation that runs through everything we do from amazing technology to industry-leading environmental is seeking a hands-on Data Engineer to join the Next-Gen Workflow team within our Finance Process Analytics Reporting u0026 Technology (PART) Data Operations group. Youll design and build the data applications and increasingly the AI-powered experiences that change how Apples Finance analysts work every day. This is a role for an engineer who wants to operate independently end-to-end help define what AI-native finance tooling looks like at Apple and see their work used by key stakeholders across the organization.

We are looking for a senior business- and data-minded engineer with a passion for building intuitive applications that solve real-world business problems. This role sits at the intersection of data engineering software development applied AI and business 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. Youll also help lead our teams 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 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 maintenancenPartner with financial analysts and Finance leadership to deeply understand workflows and pain points and proactively identify high-leverage opportunities for automation and AInDesign develop and deploy data applications (primarily Streamlit) that automate tasks visualize data and improve the efficiency of financial processesnLead the teams adoption of AI both in our own engineering practice (AI-assisted development agentic tooling) and in the products we ship (LLM-powered features RAG agents intelligent automation)nCoach financial analysts on where and how to apply AI in their own workflows helping them separate hype from real opportunity and prototype solutions togethernWrite clean well-documented maintainable Python and establish patterns and reusable components others on the team can build onnConnect applications to a variety of data sources (databases APIs data lakes) across Apples data ecosystemnArchitect for reliability: robust error handling logging monitoring CI/CD and security-by-defaultnGather user feedback and iterate to continuously improve usability and impactnPartner with data scientists to integrate analytical and ML models into applicationsnSet technical standards and mentor other engineers on the teamnDocument applications data flows architecture decisions and technical specifications

3 years in data engineering or software development with a strong track record of shipping production data applications end-to-endnExpert proficiency in Python and hands-on experience building and deploying web applications with StreamlitnStrong experience with relational databases (e.g. SQL Server PostgreSQL) and modern data lake / lakehouse environmentsnStrong software engineering fundamentals: Git code review testing CI/CD observabilitynBS in Computer Science Data Science Engineering or a related field

Hands-on experience building with modern AI/LLM tooling e.g. OpenAI / Anthropic APIs RAG pipelines agent frameworks MCP prompt engineering and a clear point of view on where AI does and doesnt belong in business workflowsnDemonstrated use of AI-assisted development tools (e.g. Claude Code Cursor Copilot) to ship higher-quality software fasternExperience with FastAPI (or Flask/Django) for building Python web services and APIsnExperience with React or another modern front-end framework for building richer UIs beyond StreamlitnProficiency with data visualization libraries (Plotly Matplotlib Seaborn) and an eye for usable well-designed UIsnSolid grasp of data warehousing concepts and ETL/ELT designnExperience leading projects or mentoring engineers in a senior IC capacitynExperience shipping LLM-powered features to production (not just prototypes)nExperience with cloud platforms (AWS Azure GCP) and containerization (Docker Kubernetes)nBackground working with Finance FPu0026A or Sales Finance teamsnStrong communication skills with the ability to translate between technical and business contexts