Python Spark Developer

Bank of America; South Dakota; On-site; USD 103,000 - 180,000; Full time

Benefits offered by this job

Benefits

Job summary

Bank of America is seeking a Software Engineer for the GRRS Tech data platform, focusing on Python and Spark to support regulatory reporting and large-scale data initiatives.

You will collaborate with business and technology stakeholders to ensure data quality, lineage and production readiness while developing next-gen AI-assisted coding tools and scalable data solutions.

Qualifications

• Proficiency in Python for data analysis, transformation and processing.
• Experience with Spark and PySpark for large-scale data handling.
• Knowledge of Hadoop ecosystem and data processing pipelines.

Responsibilities

• Hands-on Python programming for data analysis, transformation and processing.
• Work with GitHub Copilot tools and specification-driven development.
• Utilize Python libraries such as Pandas, NumPy, PySpark for large-scale data handling.
• Apply OOP concepts in Python to build reusable, scalable code.
• Integrate Python with data pipelines, APIs and databases.
• Automate repetitive data tasks with Python scripting.
• Operate with Jupyter Notebooks/IDEs for exploration and prototyping.
• Ensure robust exception handling, logging and debugging in Python applications.
• Leverage SQL for querying, data extraction and manipulation.

Skills

Python

Spark

Hadoop

AI Core Concepts

Tools

GitHub Copilot

Job description

Job Description:

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.

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

Required Qualifications:

• Python
• Spark
• Hadoop
• AI Core Concepts

Desired Qualifications:

• MongoDB
• VectorDB
• LangChain/LangGraph
• RAGAs/DeepEval framework
• RAG pipeline

Shift:

1st shift (United States of America)

Hours Per Week:

40

Pay Transparency details

US - NJ - Pennington - 1600 American Blvd - Hopewell Bldg 6 (NJ2600)

Pay range

$102,900.00 - $179,900.00 annualized salary, offers to be determined based on experience, education and skill set.

Discretionary incentive eligible

This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.

Benefits

This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.