Data Engineer Mid-Level (Hybrid)

Company: USAA
Location: Plano
Posted on: August 4, 2022

Job Description:

Purpose of JobWe are seeking dedicated Data Engineers. 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.

Our Data Engineers deliver quality reporting and data intelligence solutions to the organization and assist client teams with drawing insights to make advised, data driven decisions. Data Engineers are engaged in all phases of the data management lifecycle; gather and analyze requirements, collect, process, store and secure, use, share and communicate, archive, reuse and repurpose data.Job RequirementsAbout USAAUSAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.About USAA ITOur most meaningful qualification isn't technical, it's human. Here, we don't just sit in front of a screen. We stand behind our 13 million members who rely on us every day.We're proud of USAA's strong history -- and we're even more passionate about our future. That's why we have a team of supportive and collaborative hardworking technology professionals focused on doing more for our members. And why we're continuing to add innovative problem solvers to our team. With us, you'll find exciting challenges that inspire you to continue learning and growing.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. We have multiple positions available. Candidates are expected to live a commutable distance from of one of our offices in San Antonio, TX, Plano, TX, and Phoenix, AZ.Primary 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 and procedures for business activities.
• Independently conducts work on the full life cycle of data engineering to include analysis, solution design, data pipeline engineering, testing, deployment, scheduling, and production support.
• Design and implement complex technical solutions.
• Design, build, handle and optimize data pipelines for data structures encompassing data transformation, data models, schemas, metadata, data quality, and workload management.
• Identifies and solves significant technical problems and architecture deficiencies to include design, security, and performance.
• Collaborates on design reviews by providing feedback on trends and makes recommendations for solutions.
• Breaks down business features and into technical stories and approaches. Influences team members in technical adoption for the best solutions.
• Creates proof of concepts and prototypes that drive the vision and the outcome for sophisticated initiatives to be delivered.
• Collaborates with the team and other engineers on new technologies and alternatives to plan and implement complex assignments and tasks.
• Helps on-board mid level engineers. May begin mentoring junior engineers.
• Acquires data from multiple data sources and maintains resulting databases, data warehouses, and/or data lakes.
• Assists to develop, maintain, and implement the company's data development tools and standards. Conducts code reviews on a periodic basis to improve quality and ensure compliance.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)
  • 4 years of data engineering, data analysis or software development experience implementing data solutions with at least 1 year of data engineering or data management experience.
  • Extensive knowledge and 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 MethodologiesThe 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: $88,200 - $158,900Employees 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.Relocation assistance is not available for this position.

Keywords: USAA, Plano , Data Engineer Mid-Level (Hybrid), Engineering , Plano, Texas