Data Engineer Mid Level - Machine Learning
Location: San Antonio
Posted on: May 16, 2022
Purpose of JobWe are seeking a talented Data Engineer Mid Level
for either our San Antonio, TX or Phoenix, AZ facility. The
candidate selected for this position is going to get work with the
Machine Learning Team in USAA's Enterprise Digital & Analytics
Office organization. They will be working on a modern machine
learning pipeline supporting member life events and brand projects
that support our digital channels on usaa.com and our mobile app.
USAA values a 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 results. The actual days'
onsite are resolved between each employee and the employee's
manager. 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 RequirementsAbout USAA USAA
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 IT Our 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. 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, standards, 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
- 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
- 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
- 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
- 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.Minimum
- 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
- 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
- Strong analytical and problem-solving skills.When you apply for
this position, you will be required to answer some initial
questions. This will take approximately 5 minutes. Once you begin
the questions you will not be able to finish them at a later time
and you will not be able to change your responses. Preferred
- Experience implementing and supporting ML models and related
data pipelines in an enterprise environment
- Experience with big data experience tools / technologies (i.e.
Hadoop, Spark, Hive, NoSQL, etc.)
- Experience with Python programming / scripting
- Advanced knowledge and experience with SQL and traditional data
- Experience with GitlabThe 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-
$158,900. 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.
Keywords: USAA, San Antonio , Data Engineer Mid Level - Machine Learning, Engineering , San Antonio, Texas
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