Hitec - Charlotte, NC

posted 3 months ago

Full-time - Mid Level
Charlotte, NC
Merchant Wholesalers, Durable Goods

About the position

At Bank of America, we are committed to helping make financial lives better through the power of every connection. This position is responsible for driving data engineering efforts to deliver enterprise-wide capabilities and complex data solutions. The Senior Data Engineer will play a crucial role in the Corporate Audit and Credit Review (CACR) analytics & automation team, which delivers data-driven, risk-based insights and automation solutions to the CACR organization. This role involves developing and implementing a range of analytics and automation solutions, including data extraction, analysis, reporting, and dashboard design, as well as more advanced analytics such as statistical analysis, text mining, natural language processing (NLP), and modeling/machine learning/AI. The Senior Data Engineer will interact with highly experienced audit and credit professionals, data experts, and technology teams. Intellectual curiosity is essential for driving critical thinking to produce optimal solutions. Strong time management, coordination, communication, and presentation skills are necessary for success in this role. Responsibilities include assembling large, complex data sets that meet functional and non-functional requirements, maintaining and improving data for operational and analytics systems, and building complex processes that support data transformation and quality controls. Additionally, the Senior Data Engineer will define and build data pipelines to enable data-informed decision-making, contribute to existing test suites, and lead the identification of gaps in data management standards. This position may also involve mentoring junior data engineers and managing associates, ensuring that all projects are completed on time and to a high standard. The role requires a deep understanding of data management, risk management, and solution design, as well as the ability to communicate effectively with both technical and executive audiences.

Responsibilities

  • Develop and implement a range of analytics and automation solutions, including data extraction, analysis, reporting, and dashboard design.
  • Assemble large, complex data sets that meet functional and non-functional requirements.
  • Maintain, improve, clean, and manipulate large data for operational and analytics data systems.
  • Build complex processes supporting data transformation, data structures, metadata, data quality controls, and workload management.
  • Define and build data pipelines to enable data-informed decision making.
  • Contribute to existing test suites including integration, regression, and performance testing.
  • Lead the identification of gaps in data management standards adherence and develop plans to close gaps.
  • Mentor Data Engineers in the delivery and release of continuous integration and continuous delivery events.
  • Utilize analytical skills to develop analytics and automated testing solutions using various tools and programming languages.
  • Support the design and execution of new analytics, automated testing tools, and models.
  • Coordinate, schedule, scope, and lead large, cross-functional analytics and automation activities.

Requirements

  • Intermediate to advanced knowledge of SQL, SAS, Alteryx, Python, Tableau or related tools.
  • Advanced skills in Microsoft Excel.
  • Strong analytic skills to navigate systems, access data, reconcile numbers, and identify discrepancies and trends.
  • Proven track record of implementing automated solutions related to data and analytics.
  • Ability to work independently or in teams on multiple projects simultaneously.
  • Strong written and oral communication skills.

Nice-to-haves

  • Experience with model development, machine learning, and data science.
  • Familiarity with DataRobot, Instabase, and UIPath.

Benefits

  • Competitive benefits to support physical, emotional, and financial well-being.
  • Opportunities for learning and career growth.
  • Flexible work arrangements depending on the role.
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