Data Engineer III

USAA•San Antonio, TX

8d•Hybrid

About The Position

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.

Requirements

Bachelor’s degree in Computer Science, Information Technology, Engineering or related field and 1 year of experience in experience in the job offered or in a Data Engineer related occupation.
SQL
IBM Data Stage and Informatica Power Center
Snowflake
Git
Agile Methodologies
Unix
Amazon S3, AWS Lambda, and Amazon CloudWatch
Python
Tableau

Responsibilities

Identifies and manages existing and emerging risks that stem from business activities and the job role. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled. Follows written risk and compliance policies, standards, and procedures for business activities.
Participates in the full life cycle of data engineering to include analysis, solution design, data pipeline engineering, testing, deployment, scheduling, and production support with guidance from senior team members.
Assists in the implementation of technical solutions for data reporting and analytic systems.
Assists with designing and writing test scripts to verify data integrity and application of functionality.
Reviews functionality of existing test scripts for understanding.
Demonstrates familiarity with IT Change and Release Management best practices.
Deploys data pipeline code with assistance from senior team members.
Participate in design and code review sessions.
Actively participates in Agile ceremonies such as daily standup, iteration planning, backlog grooming, and retrospective sessions.
Develops intermediate familiarity of data management best practices by participating in trainings, reviewing documentation, and reading code from existing solutions.
Demonstrates knowledge and understanding of business products and processes.
Assists senior team members in breaking down business features into technical stories and approaches.
Actively learns about new and emerging technologies in the data engineering space.
Seeks to apply learnings in current and future projects.