Data Engineer 3 4P/499

4P Consulting Inc.; Atlanta (GA); On-site; USD 80,000 - 110,000; Part time

Job summary

A consulting firm specialized in data and analytics is seeking an experienced Data Engineer – Quality Assurance to support data quality and validation across AI-driven analytics platforms. This role involves testing data and AI models as they flow through data lake architecture. The ideal candidate will have 5-10 years of experience, a strong command of Python and SQL, and a focus on ensuring data integrity and continuous improvement of QA processes.

Qualifications

• 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.

Responsibilities

• Design, develop, and execute data quality tests.
• Implement QA testing strategies for AI and machine learning models.
• Develop and maintain automated testing frameworks for data pipelines.
• Partner with teams to improve data and model quality.

Skills

Python

SQL

Data modeling

Automation testing tools

Machine learning concepts

Job description

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