Python Spark Developer
Bank of America
✨ Why This Is a Good Vibe Coding Job
This is a standout role because it officially legitimizes 'vibe coding' within a major financial institution, emphasizing GitHub Copilot and specification-driven development. By focusing on high-level logic and AI-assisted iteration, developers can spend less time on boilerplate and more on building sophisticated Agentic AI and RAG pipelines.
The Role: AI-Driven Data Engineering
Bank of America is looking for a forward-thinking developer to join their GRRS Tech division. This isn't a traditional coding role; you will be tasked with building the next generation of financial data tools and Agentic AI applications. Your primary focus will be on transforming large-scale data sets and ensuring regulatory accuracy while utilizing a modern, AI-first approach to software engineering.
The Vibe Tech Stack
This position is tailor-made for developers who have moved beyond manual syntax and embraced the era of "vibe coding." You will use GitHub Copilot to accelerate the development of Python and Spark applications. The workflow centers on specification-driven development, requiring you to translate complex data requirements into clean, functional code through natural language and AI-assisted tools.
Core Responsibilities & Growth
- AI-Assisted Development: Leverage GitHub Copilot and Python (Pandas, NumPy, PySpark) to build scalable data pipelines.
- Agentic AI Innovation: Contribute to the creation of production-grade AI agents and sophisticated RAG (Retrieval-Augmented Generation) systems.
- Data Integrity: Manage end-to-end data lineage and transformation within a Hadoop and SQL-based environment.
- Modern Workflows: Participate in rapid iteration cycles, focusing on reusable object-oriented programming and automated debugging.
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Source: workday
Last reviewed: Sep 9, 2026. How we source and review jobs.