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!

This role is responsible for leading efforts to develop and deliver complex data solutions to accomplish technology and business goals. Key responsibilities include code design and delivery tasks associated with the integration, cleaning, transformation, and control of data in operational and analytics data systems. They work with stakeholders, Product Owners and Software Engineers to aid in the implementation of data requirements, analyze performance, conduct research and troubleshoot any issues. These individuals are proficient in data engineering practices and have extensive experience using design and architectural patterns. The candidate is preferred to have knowledge in the cyber security domain.

Responsibilities :

• Partner with stakeholders to refine requirements, define user stories, and estimate delivery effort across the development lifecycle.
• Design and develop scalable data solutions using multiple architectural components to meet business and technical requirements.
• Build, integrate, transform, and manage complex datasets that support operational and analytical data needs.
• Develop and maintain data pipelines, data structures, metadata frameworks, and data quality controls to enable informed decision-making.
• Collaborate with development teams to ensure data architectures are feasible, scalable, and accurately implemented.
• Resolve technical challenges, support solution delivery, and drive continuous improvement of data engineering practices.
• Contribute to integration, regression, and performance testing by analyzing results, identifying defects, and resolving root causes.
• Document deployment, maintenance, support, and business processes while adhering to release management and code deployment standards.
• Monitor key performance indicators, maintain internal controls, and identify gaps in data management standards and governance practices.
• Lead proof-of-concept and experimentation initiatives while mentoring junior engineers and coaching teams on CI/CD, automation, and engineering best practices.

Required Qualifications:

• 8+ years of hands-on data engineer/software development experience
• Experience with big data processing systems such as Hadoop and Cloudera
• Experience with cloud services/technologies such as AWS and Azure
• Python programming with PySpark experience
• Strong SQL and UNIX experience
• Experience with data stores such as HIVE, HBase and Elastic
• Experience with code versioning systems such as Bitbucket
• Experience with CI/CD pipelines
• Good knowledge of data engineering principles and SDLC processes
• Ability to detect early and articulate challenges and gaps in requirements with business partners
• Ability to guide junior engineers toward project completion and deliveries

Desired Qualifications:

• Proven experience building end-to-end data engineering solutions
• Ability to articulate multiple engineering solution options, including pros and cons, to stakeholders
• Desire to mentor and sponsor other associates
• Cybersecurity domain experience preferred

Skills:

• Analytical Thinking
• Application Development
• Data Management
• DevOps Practices
• Solution Design
• Agile Practices
• Collaboration
• Decision Making
• Risk Management
• Test Engineering
• Architecture
• Business Acumen
• Data Quality Management
• Financial Management
• Solution Delivery Process

This job will be open and accepting applications for a minimum of seven days from the date it was posted.

Shift:

Hours Per Week: 

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