Data Engineer

United States - Texas - Aafes Headquarters (dallas)mid

Data EngineerData

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Quick Summary

Overview

Responsible for designing and building systems that collect, store, and process data. Job Qualifications Four years of IT experience with SQL, data lake management,

Technical Tools

Data EngineerData

Responsible for designing and building systems that collect, store, and process data.

Requirements

~1 min read

Four years of IT experience with SQL, data lake management, or modern AI development deployment, or equivalent is required.

OR

Bachelor's degree and two years of IT experience with SQL, data lake management, or modern AI development deployment, or equivalent is required.
Work – Onsite (HQ – Dallas, Texas)

Candidates eligible for the Military Spouse Exemption may be considered for remote work
PCS Not Authorized/LSP Not Authorized
Design, build, and maintain data pipelines to collect, transform, and prepare structured and unstructured data for business and AI applications.
Research and evaluate emerging technologies, tools, and integration methods to identify innovative solutions to business and technical challenges.
Collaborate with cross-functional teams to assess data requirements, support technical experimentation, and develop practical solutions.
Optimize data workflows and implement validation, monitoring, and documentation processes to ensure data quality, reliability, and usability.
Support data security, privacy, and compliance requirements while continuously exploring opportunities to improve existing technologies and processes.
Demonstrated technical problem-solving ability, broad IT knowledge, and willingness to independently research and learn emerging technologies are essential.
Experience with SQL, data integration tools, scripting, or AI technologies is preferred.

Build and maintain data pipelines to ingest, transform, and store structured and unstructured data.
Optimize data workflows for performance, scalability, and reliability.
Partner with cross-functional teams to ensure data availability and usability for model training.
Implement data validation, monitoring, and tracking to ensure data integrity. Support engineering and experimentation by delivering clean, well-documented datasets.
Enforce data privacy, security, and compliance standards.
Performs other duties as assigned