Why USAA?Let’s do something that really matters.At USAA, we have an important mission: facilitating the financial security of millions of U.S. military members and their families. Not all of our employees served in our nation’s military, but we all share in the mission to give back to those who did. We’re working as one to build a great experience and make a real impact for our members.We believe in our core values of honesty, integrity, loyalty and service. They’re what guides everything we do – from how we treat our members to how we treat each other. Come be a part of what makes us so special!The OpportunityAs a dedicated Data Engineer - Intermediate level, you will be working with USAA's Enterprise Risk and Compliance IT team, including AML (Anti-Money Laundering) IT team, and will use Data Technologies such as IBM DataStage, DBT, SnapLogic and Snowflake.Within defined guidelines and framework, Data Engineers (DEs) are engaged in all phases of the data management lifecycle. This includes gathering and analyzing requirements, collecting, processing, storing, securing, and archiving data. Develop and maintain technical systems for data reporting and technical solutions using emerging technologies. Partner with the business to ensure data management solutions aligned to business objectives.We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: Plano, TX or San Antonio, TX. Relocation assistance is not available for this position.What you'll do:
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 standard methodologies. 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 standard methodologies 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 takeaways in current and future projects.
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 CodeUp, Galvanize, VetFIT (Veterans for IT) or eFIT (Employees for IT)
2 years of data engineering, data analysis or software development experience implementing data solutions.
Working Experience in SQL and Relational Databases.
Basic understanding of Agile methodology practices.
Strong analytical and problem-solving skills.
Working experience in Cloud technologies and tools.
What sets you apart:
Proficiency in Data/ETL tools such as IBM DataStage, Informatica, DBT, Snowflake or similar
Experience working in Agile development environments, collaborating with multi-functional teams to deliver data solutions efficiently.
Knowledge of Unix commands, SQL and Control M
Solid understanding of data modeling concepts and standard methodologies, ensuring data integrity and performance in data warehouse environment
Continuous learning attitude, staying updated with the latest trends and advancements in data engineering technologies and methodologies.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.What we offer:Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. The salary range for this position is: $74,210.00 - $141,830.00 .Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.For more details on our outstanding benefits, please visit our benefits page on USAAjobs.com.Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.USAA is an EEO/AA Employer - applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, protected veteran status or other status protected by law.