Data Engineer II

Bank of America•Charlotte, NC

5d•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! This job is responsible for developing and delivering data solutions to accomplish technology and business goals and initiatives. Key responsibilities include performing code design and delivery tasks associated with the integration, cleaning, transformation, and control of data in operational and analytical data systems. Job expectations include working with stakeholders and Product and Software Engineering teams to aid with implementing data requirements, analyzing performance, and researching and troubleshooting data problems within system engineering domains. We are seeking an innovative, results-oriented .NET / Angular / SQL Front-End Engineer to design, develop, deploy, and maintain an enterprise-scale Data Discovery, Classification, Protection, and Privacy Platform. This role is critical to enabling secure, governed, and scalable data management capabilities that support the organization's data protection, compliance, privacy, and regulatory objectives. The ideal candidate will be responsible for building modern, highly responsive, resilient, and secure applications that empower business users to discover, classify, protect, and manage sensitive data across the enterprise. Working closely with product owners, architects, security teams, and business stakeholders, this individual will develop solutions that enhance productivity, automate data governance processes, and enable data-driven decision-making.

Requirements

5+ years of experience in Angular, .NET Core/.NET Framework, C#, and SQL Server.
Proven expertise in designing and developing enterprise-scale web applications.
Experience developing secure applications within regulated environments.
Strong understanding of REST APIs, microservices architecture, and cloud-native development practices.
Knowledge of data governance, privacy, data classification, and information protection concepts.
Experience with CI/CD pipelines, source control, automated testing, and Agile development methodologies.
Excellent problem-solving, communication, and stakeholder management skills.

Nice To Haves

Bachelor's or Master's degree in Computer Science, Software Engineering, Database Engineering, Machine Learning, or a Related STEM discipline.

Responsibilities

Works across development teams to contribute to the story refinement and delivery of data requirements through the delivery life cycle
Leverages architecture components in solution development, codes solutions to integrate, clean, transform, and control data in operational and analytical data systems per acceptance criteria
Builds processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management and defines and builds data pipelines and complex data sets to enable data-informed decision making, identifying and raising risks at all stages of the data engineering process
Develops and executes test plans to produce quantitative results, contributes to existing test suites including integration, regression, and performance, analyzes test reports, identifies test issues and errors, and triages underlying causes
Drives complex information technology projects to ensure on-time delivery and adheres to team delivery and release processes
Identifies, defines, and documents data engineering requirements, communicating required information for deployment, maintenance, support, and business functionality
Works with technology partners and a diverse set of stakeholders to identify and close gaps in data management standards adherence, negotiates paths forward, and helps identify and communicate solutions to complex data problems leveraging knowledge of information systems, techniques, and processes
Design and develop scalable front-end applications using Angular, integrated with .NET-based APIs and services.
Build intuitive user experiences that simplify enterprise data discovery, classification, privacy, and protection workflows.
Develop secure, high-performing, and resilient solutions leveraging C#, .NET, Angular, SQL Server, and modern web technologies.
Collaborate with architects and security teams to ensure solutions adhere to enterprise security, privacy, and data governance standards.
Optimize application performance, scalability, accessibility, and reliability for large-scale enterprise deployments.
Implement reusable UI components, dashboards, and reporting capabilities that provide actionable insights into data protection and compliance posture.
Support audit, risk, compliance, and regulatory examination readiness through robust governance and reporting capabilities.
Participate in the full software development lifecycle, including requirements analysis, design, development, testing, deployment, and production support.
Drive continuous improvement through automation, DevSecOps practices, and modern engineering standards.