Disability Solutions - Charlotte, NC

posted 8 days ago

Full-time - Mid Level
Charlotte, NC
Administrative and Support Services

About the position

The Senior Data Engineer at Bank of America is responsible for developing and implementing analytics and automation solutions within the Corporate Audit and Credit Review (CACR) analytics & automation team. This role focuses on data extraction, analysis, reporting, and dashboard design, while also engaging in advanced analytics such as statistical analysis and machine learning. The position requires collaboration with audit and credit professionals, data experts, and technology teams to deliver data-driven insights and solutions.

Responsibilities

  • Assembles large, complex data sets that meet functional and non-functional requirements.
  • Maintains, improves, cleans, and manipulates large data for operational and analytics data systems.
  • Builds complex processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management.
  • Utilizes multiple architectural components in the design and development of client requirements.
  • Defines and builds data pipelines to enable data-informed decision making.
  • Contributes to existing test suites including integration, regression, and performance.
  • Leads the identification of gaps in data management standards adherence and develops plans to close gaps.
  • Mentors Data Engineers in the delivery and release of continuous integration and continuous delivery events.
  • Utilizes analytical skills to develop analytics & automated testing solutions using various tools and programming languages.
  • Supports the design and execution of new analytics, automated testing tools, and models.
  • Responsible for multiple projects simultaneously, ensuring timely and efficient completion.
  • Coordinates, schedules, scopes, and leads large, cross-functional analytics & automation activities.
  • Exercises judgment, critical thinking, and sound communication skills to influence business partners.
  • Coaches/trains junior team members in execution of analytics and automation activities.

Requirements

  • Degree in business, computer science or related discipline.
  • Expert in data analytics, mining, manipulation, aggregation, integration, and reporting.
  • Relational database management systems architecture experience.
  • Data modeling and tuning experience.
  • SQL programming, including stored procedures and functions.
  • Knowledge of data management (data quality, metadata management, governance, etc.) and BI/data management tools.

Nice-to-haves

  • Audit Process Knowledge
  • Knowledge of the Hadoop ecosystem on tools like HIVE/Impala/Spark
  • Experience with Tableau/SSRS or other current reporting tools
  • Agile team member
  • Knowledge of bank technology and data management standards.

Benefits

  • Competitive benefits to support physical, emotional, and financial well-being.
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