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- 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.
- Designs and implements complex technical solutions for data engineering and analytic systems.
- 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 stakeholders in technical adoption for best solutions.
- Creates proof of concepts and prototypes that drive the vision and the outcome for complex initiatives to be delivered.
- Collaborates with the team and other engineers on new technologies and alternatives to plan and execute complex assignments and tasks.
- Helps on-board entry 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 enforce the company's data development tools and standards. Conducts code reviews on a regular basis to improve quality and ensure compliance.
- Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.
- 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)
- 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.
- Understands the Agile methodology practice.
- Strong analytical and problem-solving skills.
- Proficient in working in Cloud technologies and tools.
- 3+ years' experience with Kafka.
- Experience with cloud technologies such as AWS/GCP.
- 2 + years' experience in Python.
- Strong communications to interface between customers, engineers, and leadership.
- Experience in implementing machine learning models and/or AI is a nice to have.
Data Engineer-Mid Level - San Antonio, United States - United Services Automobile Association
Description
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 Opportunity
We are seeking a dedicated Mid-Level Data Engineer who will be working with the Marketing Data and Analytics group. We are building the first Enterprise Data Marketing Media Aggregator service on AWS with integrations to multiple off premise vendors and sourcing existing marketing reporting solutions. This role will work closely with business and IT partners on delivering capabilities to measure marketing performance and effectiveness in an agile environment. Calling individuals that want to expand their horizon alongside energetic engineers and are able work hard to meet timelines and bring in the lively element along the way. The right candidate would have rich technical expertise and high curiosity to take calculated risks to move the technology forward to achieve business objectives.
We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position will be based out of San Antonio; TX or Plano; TX. Relocation assistance is not available for this position.
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.
What you'll do:
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: $89,990- $172,000.
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
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.