USAA - Charlotte, NC

posted 24 days ago

Full-time - Mid Level
Charlotte, NC
10,001+ employees
Credit Intermediation and Related Activities

About the position

The Data Visualization Developer - Mid Level at USAA is responsible for supporting the development of analytical efforts to enhance data and analytics capabilities related to USAA's technical operational infrastructure. This role involves working with various operational areas to create insights and improve efficiency through data-driven decision-making. The position requires collaboration with the Shared Services and Infrastructure Insights team to design and implement complex technical solutions for data engineering and analytics systems.

Responsibilities

  • Conducts work on the full life cycle of data engineering including analysis, solution design, data pipeline engineering, testing, deployment, scheduling, and production support.
  • Designs and implements complex technical solutions for data engineering and analytic systems.
  • Identifies and solves significant technical problems and architecture deficiencies.
  • Collaborates on design reviews and provides feedback on trends and recommendations for solutions.
  • Breaks down business features into technical stories and influences stakeholders in technical adoption.
  • Creates proof of concepts and prototypes for complex initiatives.
  • Collaborates with the team on new technologies and executes complex assignments.
  • Helps onboard entry-level engineers and may mentor junior engineers.
  • Acquires data from multiple sources and maintains databases, data warehouses, and/or data lakes.
  • Develops, maintains, and enforces data development tools and standards, conducting regular code reviews.
  • Ensures risks associated with business activities are effectively identified and controlled.

Requirements

  • Bachelor's degree or 4 years of related experience may be substituted in lieu of degree.
  • 4 years of data engineering, data analysis, or software development experience with at least 1 year in data engineering or management.
  • Extensive knowledge and working experience in SQL and Relational Databases.
  • Understanding of Agile methodology practices.
  • Strong analytical and problem-solving skills.
  • Proficient in working with Cloud technologies and tools.

Nice-to-haves

  • Intermediate to advanced analytics development capabilities leveraging reporting tools (Tableau, ServiceNow, etc.).
  • Experience with infrastructure datasets and ability to construct actionable insights.
  • Experience creating efficient queries for data visualizations using data prep tools like Dremio.
  • Applying data visualization best practices to identify trends or patterns.
  • Experience working with end users to capture business requirements.

Benefits

  • Comprehensive medical, dental, and vision plans.
  • 401(k) and pension plans.
  • Life insurance and parental benefits.
  • Adoption assistance.
  • Paid time off program with paid holidays plus 16 paid volunteer hours.
  • Various wellness programs.
  • Career path planning and continuing education support.
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