Data Engineer

AAFES

• $90K — $120K *
Dallas, TX 75217In-Person
Information Technology
Less than 5 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • 4 years of IT experience with SQL, data lake management, or AI development deployment, or equivalent is required
  • Bachelor's degree with 2 years of relevant IT experience may be acceptable
  • Strong background in handling both structured and unstructured data
  • Experience in optimizing data workflows for performance and reliability
  • Familiarity with data privacy, security, and compliance standards

Responsibilities

  • Build and maintain data pipelines for data ingestion and storage
  • Optimize workflows for better performance and scalability
  • Collaborate with teams to ensure data is ready for model training
  • Implement monitoring for data integrity and validation
  • Support engineering efforts by providing clean datasets
  • Ensure compliance with data privacy and security standards
  • Perform additional duties as necessary

Benefits

  • Onsite work environment at HQ in Dallas, Texas
  • Rigorous adherence to data privacy and security standards
  • Collaboration opportunities with cross-functional teams
  • Focus on structured and unstructured data management
  • Strong support for engineering and experimentation initiatives
Full Job Description
Additional Qualifications/Requirements

PCS Not Authorized/LSP Not Authorized

Work - Onsite (HQ - Dallas, Texas)
  • Remote/Telework not authorized per Presidential Memorandum "Return to In Person Work"


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.

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
* Ladders Estimates

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