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!
Job Description:
This job is responsible for developing and delivering complex requirements to accomplish business goals. Key responsibilities of the job include ensuring that software is developed to meet functional, non-functional and compliance requirements, and solutions are well designed with maintainability/ease of integration and testing built-in from the outset. Job expectations include a strong knowledge of development and testing practices common to the industry and design and architectural patterns.
As a Data Engineer, the candidate will enhance and support a critical Enterprise Data Warehouse that provides position and transaction data to Corporate Treasury business users. The Data Warehouse also serves as an Authorized Data Source, supplying Treasury related product data to regulatory systems across the enterprise. By leveraging AI and data technologies, the candidate will play a key role in supporting critical enterprise data processes.
Responsibilities:
Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements
Designs, develops, and modifies architecture components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintained
Mentors other software engineers and coach team on Continuous Integration and Continuous Development (CI-CD) practices and automating tool stack
Executes story refinement, definition of requirements, and estimating work necessary to realize a story through the delivery lifecycle
Performs spike/proof of concept as necessary to mitigate risk or implement new ideas
Automates manual release activities
Designs, develops, and maintains automated test suites (integration, regression, performance)
Required Qualifications:
Intermediate to Advanced experience with Python (e.g., Pandas, Data Frames) and use in data processing solutions.
5+ years Practical working experience with relational databases, preferably Oracle Exadata.
Familiarity with Data Warehouse / Data Mart / Business Intelligence concepts.
Strong practical working experience with Unix scripting in at least one of Python, Perl, Shell (either bash or zsh).
Experience with CI/CD processes and tools (e.g., Ansible, Jenkins).
Experience or familiarity with orchestration tools, most particularly Airflow.
Proven experience as a Backend Engineer with a strong emphasis on Linux development.
Desired Qualifications:
Bachelor’s degree in STEM related field.
Skills:
Application Development
Automation
Influence
Solution Design
Technical Strategy Development
Architecture
Business Acumen
DevOps Practices
Result Orientation
Solution Delivery Process
Analytical Thinking
Collaboration
Data Management
Risk Management
Test Engineering
Shift:
1st shift (United States of America)Hours Per Week:
40