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Data Engineer 3 4P/4994P Consulting IncAtlanta, Georgia, United States
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Data Engineer 3 4P/499

4P Consulting Inc
  • US
    Atlanta, Georgia, United States
  • US
    Atlanta, Georgia, United States

À propos

Data Engineer 3 – Quality Assurance (AI & Data Platforms)
Location - Atlanta, Ga
Client - Southern Company Gas
Contract - 10 Months
Position Overview We are seeking an experienced Data Engineer – Quality Assurance to support data quality, testing, and validation across our AI-driven analytics platform. This role is focused on testing data and AI analytical models as data flows through a data lake architecture , ensuring accuracy, reliability, and performance.
As a Quality Assurance Data Engineer within the EDGE group , you will play a critical role in enforcing data quality standards, validating machine learning models, and supporting continuous improvement of our data and AI systems through both manual and automated testing .
Key Responsibilities Data Quality & Testing
Design, develop, and execute data quality tests for data moving through relational systems and data lakes
Monitor, validate, and enforce data integrity, accuracy, and consistency
Identify, document, and resolve data issues across ingestion, transformation, and analytics layers
AI & Machine Learning QA
Implement QA testing strategies for AI and machine learning models
Validate model inputs, outputs, and performance against defined requirements
Work closely with data scientists and engineers to ensure reliable and trustworthy AI solutions
Support testing of model retraining, versioning, and deployment pipelines
Automation & Engineering
Develop and maintain automated testing frameworks for data pipelines and AI models
Write and maintain test scripts using Python and SQL
Apply strong data modeling principles to support scalable and testable architectures
Collaboration & Continuous Improvement
Partner with data engineers, ML engineers, and product teams to improve data and model quality
Support continuous improvement of QA processes and software development lifecycle
Document test plans, results, and quality metrics clearly for technical and business stakeholders
Experience
5–10 years of experience in data engineering, data QA, or software testing
Hands-on experience testing data pipelines and analytics platforms
Experience supporting AI/ML model validation and testing
Technical Skills
Strong proficiency in Python and SQL
Deep understanding of data modeling and data lake architectures
Experience with automation testing tools and frameworks
Strong knowledge of machine learning concepts, workflows, and frameworks
Experience validating AI analytical models and data-driven systems
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  • Atlanta, Georgia, United States

Compétences linguistiques

  • English
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