Python Spark Developer

Bank of America•Pennington, AL

5d•$102,900 - $179,900•Onsite

About The Position

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! GRRS Tech is a data-driven value chain seeking a highly analytical and detail-oriented professional with strong experience developing and supporting Python and Spark applications within the Banking & Financial Services domain. The role involves close collaboration with business and technology stakeholders to support regulatory reporting and large-scale data initiatives. The ideal candidate will have hands-on experience with data sourcing, transformation, and lineage analysis, as well as Python/Spark and SQL-based data environments. The Software Engineer will play a key role in ensuring data quality, traceability, and consistency while contributing to enterprise data platforms and reporting solutions. In addition to supporting the GRRS platform during US hours, the Software Engineer will contribute to the development of next-generation Agentic AI applications. Working closely with senior engineers and product teams, the role will focus on building production-grade systems using Python and modern AI-assisted coding tools such as GitHub Copilot. The position emphasizes rapid iteration, clean coding practices, and consistent adherence to specification-driven development methodologies. Generally requires 5+ years of experience.

Requirements

Python
Spark
Hadoop
AI Core Concepts

Nice To Haves

MongoDB
VectorDB
LangChain/LangGraph
RAGAs/DeepEval framework
RAG pipeline

Responsibilities

Hands-on experience in Python programming for data analysis, transformation, and processing
Hands-on experience with GitHub Copilot tools, vibe coding, and specification-driven development
Strong knowledge of Python libraries such as Pandas, NumPy, and PySpark for large-scale data handling
Familiarity with object-oriented programming (OOP) concepts in Python for building reusable and scalable code
Experience integrating Python with data pipelines, APIs, and database systems
Exposure to automating repetitive data tasks using Python scripting
Experience working with Jupyter Notebooks/IDEs for exploratory data analysis and prototyping
Understanding of exception handling, logging, and debugging in Python applications
Strong working knowledge of SQL for querying, data extraction, and manipulation