Software Engineer II

Bank of America•Charlotte, NC

1d•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 is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. 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 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, coding solutions, unit testing, and ensuring the solution can be integrated successfully into the overall application/system with clear, robust, and well-tested interfaces. Job expectations include an awareness of development and testing practices in the industry.

Requirements

8+ years of experience in Data Engineering, Software Engineering, or related technical discipline.
Strong proficiency in Python or Scala/Java, and SQL for advanced data transformations.
Hands-on experience designing and building ETL/ELT pipelines, data ingestion processes, and distributed data processing jobs.
Practical experience working with distributed data tools such as Apache Spark, Databricks, or Hadoop ecosystems.
Experience building and managing datasets in relational and/or cloud‑based data platforms (Teradata, Snowflake, SQL Server, Azure/AWS/GCP).
Solid understanding of data modeling, metadata, data quality controls, data lineage, and secure data management.
Experience contributing to automated test suites, analyzing test failures, and supporting test-driven development.
Knowledge of CI/CD pipelines, version control (Git), and automated deployment practices.
Experience adhering to enterprise data governance, compliance, and operational risk frameworks.
Ability to troubleshoot pipeline issues, performance bottlenecks, and data discrepancies.
Strong communication skills and ability to collaborate across engineering, product, and business teams.

Nice To Haves

Application Development
Automation
Collaboration
DevOps Practices
Solution Design
Agile Practices
Architecture
Result Orientation
Solution Delivery Process
User Experience Design
Analytical Thinking
Data Management
Risk Management
Technical Strategy Development
Test Engineering

Responsibilities

Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements
Utilizes multiple architectural components (across data, application, business) in design and development of client requirements
Performs Continuous Integration and Continuous Development (CI-CD) activities
Contributes to story refinement and definition of requirements
Participates in estimating work necessary to realize a story/requirement through the delivery lifecycle
Contributes to existing test suites (integration, regression, performance), analyze test reports, identify any test issues/errors, and triage the underlying cause
Performs spike/proof of concept as necessary to mitigate risk or implement new ideas