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A

Data Engineer

AAFES
  • 🇺🇸 United States
  • On-site
  • 1 day ago
  • SQL
  • AI
  • Perplexity
  • Data Visualization
  • Power BI
  • Excel
  • ServiceNow
1 day ago
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Job Qualifications

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.

Additional Qualifications/Requirements

Work – Onsite (HQ – Dallas, Texas)
  • Candidates eligible for the Military Spouse Exemption may be considered for remote work
  • PCS Not Authorized/LSP Not Authorized
Required Qualifications
  • Familiarity with Perplexity or similar enterprise AI research platforms.
  • Data analytics skills, including collecting, cleaning, analyzing and presenting data accurately.
  • Research skills, including finding, validating and summarizing information from multiple sources.
  • Ability to prioritize work, manage multiple tasks and meet deadlines with minimal supervision.
  • Strong written and verbal communication skills.

Preferred Qualifications
  • Bachelor’s degree in Information Technology, Data Analytics, Computer Science, Cybersecurity, Artificial Intelligence, Business Management or a related field.
  • Experience with SQL and relational databases.
  • Experience with data visualization or reporting tools such as Power BI or Excel.
  • Strong prompting skills, including writing, refining and testing prompts to get accurate, reliable results from AI tools.
  • Familiarity with Microsoft Copilot.
  • Basic understanding of data classification, data privacy and information security concepts.
  • Familiarity with ServiceNow or similar ticketing and workflow tools.

Major Duties

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
  • Job Description: Responsible for designing and building systems that collect, store, and process data.
  • Job Grade: 4
  • Job Tier: 2
  • Career Area: Information Technology
  • Supervisor: No
  • Job Type: Management
  • Number of Positions Remaining: 1

Data Engineer · AAFES

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