Data Engineer Entry Level

Data Engineer Entry Level page is loaded## Data Engineer Entry Level locations:
San Antonio Home Office Itime type:
Full time posted on:
Posted Todayjob requisition :
R0113909

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.## The Opportunity

USAA is seeking a motivated entry level Data Engineer to join the team. In this entry-level position, you will play a vital role in developing and supporting data-driven solutions for Data Governance reporting and analytics, focusing on areas such as data management, data quality, and standards adherence. In this role, you will develop and support data pipelines and ETL processes and contribute to the design and implementation of data warehousing solutions.

In addition to these core tasks, you will get the opportunity to write and complete SQL queries for data extraction, transformation, and loading. In this role, you will collaborate with data analysts and stakeholders to understand data requirements and deliver effective solutions.

We offer a flexible work environment that requires an individual to be
** in the office 4 days per week.
** This position will be based in San Antonio, TX. Relocation assistance is
** not
* * available for this position.
** What you'll do:
*** Assists in the full life cycle of data engineering to include analysis, solution design, data pipeline engineering, testing, deployment, scheduling, and production support.
* May assist in the implementation of technical solutions for data engineering and analytic systems.
* Executes tests scripts and may begin to deploy data pipeline code with assistance from senior team members.
* Monitors the execution of data pipelines in the production environment. May begin to troubleshoot and return failures to service. Escalates failures through proper channels to ensure timely resolution.
* Participates in design and code review sessions.
* Actively participates in Agile ceremonies such as daily standup, iteration planning, backlog grooming, and retrospective sessions.
* Develops basic familiarity of data management best practices by participating in trainings, reviewing documentation, and reading code from existing solutions.
* Develops knowledge and understanding of business products and processes.
* Builds on data management principles and methodologies to include new and emerging related technologies.
* Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.
** What you have:
*** Bachelor’s degree; OR 4 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree; OR Approved certification from Code Up, Galvanize, VetFIT (Veterans for IT) or eFIT (Employees for IT)
* Up to 2 years of data engineering, data analysis or software development experience implementing data solutions.
* Basic understanding of one or more of the following: SQL, Relational Databases, Python, UNIX, UNIX Shell Scripting (Bash), Cloud Data Engineering (AWS/GCP), Cloud Data Warehousing (Snowflake, Redshift), Control-M, ETL Tools (Datastage, Informatica, DBT), Big Data Technologies (Hadoop Stack).
* Basic understanding of Agile methodology practices.
* Analytical and problem-solving skills.
* Familiarity of Cloud technologies and tools.
** What sets you apart:
*** Successfully completed the USAA IT Internship in 2024 or 2025
* Experience with Structured Query Language (SQL) on Relational Databases
* Experience with Python or UNIX Shell Scripting
* Knowledge of Data Warehousing or Data Mart concepts
* Knowledge of Cloud database technologies such as Snowflake, Redshift, Big Query, PostgreSQL
* Familiarity with data management and governance practices
** Compensation range:
** The salary range for…