Data Engineer 3 4P/446

4P Consulting Inc.; Atlanta (GA); Hybrid; USD 85,000 - 115,000; Full time

Job summary

A leading consulting firm is seeking a Data Engineer 3 in Atlanta to ensure high-quality data analytics delivery. This role encompasses validating data integrity, testing workflows, and collaborating across Agile teams. Requires a Bachelor's degree in a related field and experience with QA in integrated environments. Strong analytical skills and proficiency in data testing are essential. Competitive compensation and hybrid working model offered.

Qualifications

• Proven QA experience across integrated software and data platforms.
• Experience validating front-end applications and user workflows.
• Familiarity with Agile development and Scrum methodologies.

Responsibilities

• Develop and execute detailed test strategies, plans, and scripts.
• Perform functional, regression, integration, and performance testing.
• Validate data pipelines and ETL/ELT workflows.
• Collaborate with teams to adhere to data quality standards.
• Identify, log, and track defects using Jira.

Skills

Analytical skills

Attention to detail

Data testing proficiency

Collaboration

Problem-solving skills

Education

Bachelor’s degree in Computer Science, Information Technology, Data Engineering or related field

Tools

Tricentis Tosca

Microsoft Azure

Python

SQL

Jira

Zephyr Scale

Job description

Data Engineer 3

Location: Atlanta/ Hybrid
Client- Southern Co Gas Corp

Contract- 1 Year

Position Overview

The Quality Assurance Data Engineer plays a critical role in validating the integrity, reliability, and performance of our enterprise decision-making data platform. This position ensures high-quality data analytics delivery by enforcing standards, executing thorough testing, identifying data-related issues, and supporting continuous improvement throughout the software development lifecycle.

The ideal candidate brings strong analytical skills, exceptional attention to detail, technical proficiency in data testing, and the ability to collaborate effectively across cross-functional Agile teams. This role will require both manual and automated testing across cloud environments, data pipelines, and front-end applications.

Key Responsibilities

• Develop and execute detailed test strategies, plans, and scripts based on requirements and design specifications

• Perform functional, regression, integration, and performance testing for data and application workflows

• Create and maintain testing artifacts including test cases, automation scripts, and test execution results

• Validate data pipelines, processing logic, ETL/ELT workflows, and data quality rules

• Collaborate with Data Engineers, Developers, and Product Owners to ensure adherence to data quality standards

• Identify, log, and track defects using Jira and Zephyr Scale, ensuring timely resolution

• Support continuous QA improvement, including automation expansion and CI/CD quality gates

• Participate in Agile ceremonies and contribute to overall delivery planning

• Advocate and implement data quality best practices and governance standards

• Support DataBricks and Azure-based testing and quality monitoring workflows

Required Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Data Engineering or related field

• Proven QA experience across integrated software and data platforms

• Experience validating front-end applications and user workflows

• Strong analytical and problem-solving skills

Technical Skills

• Testing Tools & QA Frameworks: Tricentis Tosca (preferred), manual testing tools, automated testing frameworks

• Cloud Platform: Microsoft Azure (Data Engineering ecosystem)

• Data & Programming: Python, SQL

• Platform Experience: Azure DataBricks

• Project Tools: Jira, Zephyr Scale

• Familiarity with Agile development and Scrum methodologies