Software Engineer III (ETL/DataStage)
Top focus
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. Position Summary: Seeking a software engineer with experience in experience in ETL/Data Engineering, Mainframe, and real-time data replication environments.
The individual will serve as a technical bridge between Data Engineering and Quality Engineering teams, contributing to ETL solution development, automated validation frameworks, and shift-left quality practices. The role supports the broader adoption of software engineering practices within Quality Engineering, helping embed automation, data validation, and testability throughout the development lifecycle while strengthening reliability across mission-critical data services.
This role drives ownership of data integrity, transformation accuracy, replication reliability, and automated validation across high-volume data integration and streaming platforms
Responsibilities
- Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements Designs, develops
- modifies architecture components, application interfaces
- 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
- 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
- maintains automated test suites (integration, regression, performance) Develops and enhances ETL solutions, data transformation logic, automated validation frameworks
- quality controls supporting DDS initiatives Collaborates with architects, developers
- testers to design solutions that promote automation, testability, observability
- long-term maintainability.
- Mentor testers and quality engineers on software engineering principles, automation frameworks, CI/CD integrations, and shift-left quality practices.
- Participates in story refinement, solution design reviews, and planning activities to identify quality risks, automation opportunities, and validation strategies early in the development lifecycle.
- Performs spike/proof of concept as necessary to mitigate risk or implement new ideas Automates manual release activities Designs, develops
- maintains automated test suites (integration, regression, performance) Required Qualifications: 3+ years of applicable experience Experience developing and supporting ETL/DataStage solutions, real-time data replication platforms
- large-scale data integration processes with a strong focus on automation and quality engineering.
- Strong engineering expertise across Mainframe, DataStage, IIDR/CDC, and Kafka-based data pipelines, including development, troubleshooting, automation, and validation activities.
- Ability to drive ownership of source-to-target validation, transformation accuracy, data integrity, and consistency across high-volume replication and streaming data platforms
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