Data Engineer II

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.

• Analyze datasets to identify trends, patterns and insights that support business objectives;
• Design and generate reports, dashboards and KPIs for management and stakeholders, including regulator reporting;
• Collaborate with cross-functional teams to understand data requirements and translate them into analytical solutions;
• Provide recommendations based on data-driven insights to support decision-making processes;
• Ensure data quality and integrity throughout all stages of analysis;
• Support the development and optimization of data pipelines and ETL processes;
• Present findings to both technical and non-technical audiences in a clear and compelling manner;
• Collect, organize, clean and validate data from multiple sources.

• Bachelor's degree in Data Science, Statistics, Computer Science, Economics, Engineering or related field;
• Strong knowledge of SQL and data manipulation tools (e.g. Python, Excel);
• Experience with BI and data visualization tools (e.g. Power BI, Tableau);
• Ability to turn complex datasets into actionable insights;
• Excellent communication and presentation skills;
• Experience with data warehousing and ETL tools is a plus;
• Knowledge of statistical methods and data modeling techniques is a plus;
• 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.