Data Engineer Intermediate Level (Hybrid)

Job Description

Purpose of Job

We are currently seeking a talented Data Engineer - Intermediate Level for either our San Antonio, TX, Plano, TX, or Phoenix, AZ USAA locations.
USAA values a work culture that is highly collaborative, and we have found that a hybrid work type helps employees gain the best of both worlds – collaborating in-person in the office and working from home when needed to achieve focused deliverables. The actual days onsite are settled between each employee and the employee’s manager.
USAA's Enterprise Data and Analytics Office (EDAO) is at the center of driving innovation and industry leadership across Data Management, Advanced Analytics, and Data Governance. Through a highly collaborative work environment, our teams are able to meet business demands for both internal and external clients. Our structure consists of a spoke and hub model, in which our team serves as the hub for our organization. This model provides a fast-paced work environment, high executive visibility as well as supportive career development opportunities.
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 utilizing emerging technologies. Partner with the business to ensure data management solutions aligned to business objectives.

Job Requirements

Tasks:

• 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.

Minimum Requirements:

• 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, Galvenize, 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.
• Strong analytical and problem-solving skills.

Preferred Experience:

• 4+ years’ experience developing, deploying and supporting high-quality, fault-tolerant data pipelines (leveraging distributed, data movement technologies and approaches, including but not limited to ETL and streaming ingestion and processing)
• 2 or more years’ experience utilizing Linux scripting (Python, Shell, etc.)
• 3 or more years’ experience in SQL development and/or NoSQL databases
• 1 or more years’ experience with cloud-based data offerings (Amazon AWS, Redshift, Snowflake, Google GCP, Microsoft Azure)
• Experience with ETL Tools (Informatica, DataStage, Data Build Tool, etc.)
• 1 or more years of experience working with Agile Development 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.

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 position. The salary range for this position is: $72,900.00 – $131,400.00

Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.

*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.

Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.

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.

Please click on the link below for more details. USAA Total Rewards

Relocation assistance is not available for this position