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USAA: Data Engineer I- Big Data, Machine Learning


This is a Full-time position in Phoenix, AZ posted December 1, 2020.

Purpose of JobThis position is also offered 100% remote work from home.Data Engineers deliver quality reporting and data intelligence solutions to the organization and assist client teams with drawing insights to make informed, data driven decisions.

Data Engineers (DEs) 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.

Identify and manage existing and emerging risks that stem from business activities and ensure these risks are effectively identified and escalated to be measured, monitored and controlled.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.In each of the past five years, we’ve been a top-40 Fortune 100 Best Companies to Work For®, and we’ve ranked among Victory Media’s Top 10 Military Friendly® Employers 13 years straight.

We embrace a robust veteran workforce and encourage veterans and veteran spousesto apply.USAA Careers Award Winning Workplace (17 seconds)USAA Careers ?

World Class Benefits (31 seconds)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.Design and implement technical solutions.Identify and solve significant technical problems and architecture deficiencies.Participate in daily standups and design reviews.Breakdown business features and into technical stories and approaches.Analyze data and enable machine learning.Create proof of concepts and prototypes.Help on-board entry level engineers.Collaborate with the team and other engineers to plan and execute assignments and tasks.May begin mentoring junior engineers.Minimum Education: Bachelor’s degree in related field of study, OR a Certification from an approved technical field of study, OR 4 additional years of related experience beyond the minimum required.Minimum Experience: 4 years of data management experience implementing data solutions demonstrating depth of technical understanding within a specific discipline(s)/technology(s)*Qualifications may warrant placement in a different job level*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 able to change your responses.Preferred Experience: 2+ years of Java, Scala or Python programming experience2+ years of big data experience (i.E.

Hadoop, Spark, Hive, NoSQL, etc)Strong experience with Unix Bash scriptingStrong Database and SQL competenciesExposure to Data Science, Machine Learning and advanced modeling activities1 or more years of experience 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.At USAA our employees enjoy one of the best benefits package in the business, including a flexible business casual or casual dress environment, comprehensive medical, dental and vision plans, along with wellness and wealth building programs.

Additionally, our career path planning and continuing education will assist you with your professional goals.Relocation assistance is not available for this position.For Internal Candidates:Must complete 12 months in current position (from date of hire or date of placement), or must have manager?s approval prior to posting.Last day for internal candidates to apply to the opening is 12/01/20 by 11:59 pm CST time.