4P Consulting Inc.
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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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
#J-18808-Ljbffr