USAA - San Antonio, TX

posted 7 days ago

Full-time - Entry Level
Remote - San Antonio, TX
Credit Intermediation and Related Activities

About the position

The Data Engineer I position at USAA involves engaging in all phases of the data management lifecycle, including gathering and analyzing requirements, processing, storing, securing, and archiving data. The role focuses on developing and maintaining technical systems for data reporting and solutions using emerging technologies, while partnering with the business to align data management solutions with business objectives.

Responsibilities

  • Identify and manage existing and emerging risks from business activities.
  • Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled.
  • Follow written risk and compliance policies and procedures for business activities.
  • Design and implement technical solutions.
  • Identify and solve significant technical problems and architecture deficiencies.
  • Participate in daily standups and design reviews.
  • Breakdown business features into technical stories and approaches.
  • Analyze data and enable machine learning.
  • Create proof of concepts and prototypes.
  • Help on-board entry-level engineers.
  • Collaborate with the team and other engineers to plan and execute assignments and tasks.
  • Mentor junior engineers.

Requirements

  • Bachelor's degree in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field and 4 years of experience in the job offered or in an engineering-related occupation.
  • Alternatively, Master's degree in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field and 12 months of experience in an engineering-related occupation.
  • Experience with Cloud Computing - AWS.
  • Proficiency in Redshift.
  • Strong SQL skills.
  • Unix Shell Scripting experience.
  • Familiarity with Snowflake and DBT (Data Build Tool).
  • Experience with Hadoop and Spark.
  • Proficiency in Python.
  • Knowledge of Agile Methodologies.
  • Experience with Control-M and Apache Airflow.
  • Familiarity with Git (CI/CD Automation).

Benefits

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