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Quality Engineer Associate Jobs in Georgia (NOW HIRING)

AMB Sports & Entertainment

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Implement data quality frameworks, monitoring, and alerting to ensure data integrity and ... Associate DP-203, Snowflake SnowPro Core, Google Professional Data Engineer, AWS Data Engineer ...

Floor & Decor

Quality Assurance Engineer

Atlanta, GA

As a Quality Engineer, you'll partner across merchandising, sourcing, supply chain, and suppliers ... Develop internal and external communications including FAQs, associate training materials, and ...

LIGHTERA

Quality Associate (FINAL/IPI)

Carrollton, GA · On-site

After testing, the inspector is responsible for completing all required documentation, and moving the reel to the Lagging Prep Area Follows direction from Lead and Quality Engineer regarding ...

Elevance Health

Engineer III

Atlanta, GA · Hybrid

$69K - $89K/yr

Recommend and implement improvements to the quality, efficiency, and effectiveness of the testing ... The health of our associates and communities is a top priority for Elevance Health. We require all ...

Elevance Health

Engineer III

Atlanta, GA · On-site

$69K - $89K/yr

Recommend and implement improvements to the quality, efficiency, and effectiveness of the testing ... The health of our associates and communities is a top priority for Elevance Health. We require all ...

Pwc

GenAI Python Systems Engineer-Manager

Atlanta, GA

$99K - $232K/yr

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You ... Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Elevance Health

Engineer III

Atlanta, GA · Hybrid

$69K - $89K/yr

Recommend and implement improvements to the quality, efficiency, and effectiveness of the testing ... The health of our associates and communities is a top priority for Elevance Health. We require all ...

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Quality Engineer Associate information

What is the difference between Quality Engineer Associate vs Quality Technician?

AspectQuality Engineer AssociateQuality Technician
CredentialsTypically requires a bachelor's degree in engineering or related field; certifications like ASQ CQE are a plusUsually requires a high school diploma or associate degree; certifications like CQI or CQT are common
Work EnvironmentInvolves analysis, process improvement, and collaboration with engineering teamsFocuses on inspection, testing, and data collection on the production floor
Employer & Industry UsageUsed across manufacturing, aerospace, automotive, and electronics industriesCommonly employed in manufacturing and production settings

The Quality Engineer Associate and Quality Technician roles share a focus on quality assurance but differ mainly in responsibilities and required education. The associate typically engages in process analysis and improvement, while the technician concentrates on testing and inspection tasks. Both roles are vital in maintaining product quality within manufacturing industries.

What does a Quality Engineer Associate do?

A Quality Engineer Associate supports the quality assurance and control processes within manufacturing or production environments. Their responsibilities typically include inspecting products, monitoring production processes, assisting with quality audits, and helping to implement quality standards and procedures. They work closely with senior quality engineers and production teams to identify defects, resolve quality issues, and ensure that products meet required specifications. This entry-level role is a great starting point for a career in quality engineering, as it provides hands-on experience with quality systems and tools.

What engineer makes $500,000 a year?

While most engineering roles do not reach a $500,000 annual salary, some highly specialized or senior-level engineers such as petroleum engineers, aerospace engineers, or those in executive or consulting positions can earn this level of income, often with extensive experience, advanced certifications, or ownership stakes. Compensation at this level typically involves base salary, bonuses, stock options, or profit sharing.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as petroleum, aerospace, or software engineering with extensive experience and advanced skills can earn $300,000 or more annually. High-level roles often require advanced certifications, leadership responsibilities, and working in high-demand industries or companies.

What are some common challenges a Quality Engineer Associate might face in their daily work?

Quality Engineer Associates often encounter challenges such as balancing multiple projects with tight deadlines, interpreting complex product specifications, and effectively communicating quality standards to cross-functional teams. They may also need to troubleshoot unexpected production issues and adapt quickly to new processes or technologies. Developing strong analytical and problem-solving skills, as well as building collaborative relationships with manufacturing, engineering, and quality assurance teams, can help overcome these challenges.

Is qe the same as QA?

A Quality Engineer Associate is a role focused on supporting quality assurance processes, often involving testing, process improvement, and documentation. QA generally refers to Quality Assurance activities across various roles, including Quality Engineers, but the specific responsibilities and titles can vary by organization. While related, QE Associate and QA are not exactly the same, with QE often emphasizing engineering and technical skills.

What are the key skills and qualifications needed to thrive as a Quality Engineer Associate, and why are they important?

To thrive as a Quality Engineer Associate, you need a solid understanding of quality control principles, data analysis, and basic engineering concepts, usually supported by a bachelor’s degree in engineering or a related field. Familiarity with tools such as statistical process control (SPC), Six Sigma methodologies, and quality management systems (QMS) is often required, and certifications like ASQ CQE can be beneficial. Strong attention to detail, problem-solving abilities, and effective communication skills help you collaborate across teams and address quality issues proactively. These skills are vital for ensuring product reliability, compliance with standards, and continuous improvement in manufacturing or service processes.

What does an associate quality engineer do?

An associate quality engineer supports quality assurance processes by inspecting products, analyzing data, and assisting in implementing quality improvements. They often use tools like statistical analysis and follow industry standards such as ISO or Six Sigma to ensure products meet specifications and safety requirements.
What are the most commonly searched types of Quality Engineer jobs in Georgia? The most popular types of Quality Engineer jobs in Georgia are:
What are popular job titles related to Quality Engineer Associate jobs in Georgia? For Quality Engineer Associate jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Quality Engineer Associate jobs in Georgia look for? The top searched job categories for Quality Engineer Associate jobs in Georgia are:
What cities in Georgia are hiring for Quality Engineer Associate jobs? Cities in Georgia with the most Quality Engineer Associate job openings:
Quality Engineer Associate jobs near you
Infographic showing various Quality Engineer Associate job openings in Georgia as of June 2026, with employment types broken down into 1% As Needed, 60% Full Time, 37% Part Time, 1% Temporary, and 1% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.
Data Engineer

Data Engineer

AMB Sports & Entertainment

Atlanta, GA • On-site

$110K - $132K/yr

Full-time

Posted 22 days ago

Key responsibilities

  • Design, develop, and maintain robust, scalable data pipelines and ETL/ELT workflows to support analytics, reporting, and machine learning initiatives.

  • Build and optimize data models across structured and semi-structured data sources including ticketing, fan engagement, broadcasting, and sponsorship data.

  • Develop and maintain production-grade Python applications and scripts for data transformation, API integrations, and automation.

Job description

As a Data Engineer, you will own key parts of the pipeline lifecycle-from ingesting source data through transformation, testing, and publishing trusted datasets for downstream consumers. You'll partner closely with analysts and stakeholders to turn questions into durable data products, improve reliability and observability, and help standardize patterns that scale across teams. Success in this role looks like dependable pipelines, well-modeled data, and faster delivery of insights.
Responsibilities:
  • Design, develop, and maintain robust, scalable data pipelines and ETL/ELT workflows to support analytics, reporting, and machine learning initiatives
  • Build and optimize data models (dimensional, relational) across structured and semi-structured data sources including ticketing, fan engagement, broadcasting, and sponsorship data
  • Develop and maintain production-grade Python applications and scripts for data transformation, API integrations, and automation
  • Engineer solutions on Databricks or Snowflake for large-scale data processing, lakehouse architecture, and advanced analytics
  • Build and deploy serverless data solutions using Azure Functions for event-driven processing and microservice integrations
  • Design and implement data orchestration workflows using platforms such as Apache Airflow and/or Astronomer to ensure reliable, monitored, and scalable pipeline execution
  • Manage version control, CI/CD pipelines, and collaborative development workflows using Git-based platforms (GitHub, Azure DevOps)
  • Collaborate with data analysts, data scientists, and business stakeholders to translate requirements into technical solutions
  • Implement data quality frameworks, monitoring, and alerting to ensure data integrity and reliability across the platform
  • Contribute to the evolution of the data platform architecture, advocating for best practices in performance, security, and scalability
  • Participate in code reviews to uphold engineering standards

Qualifications:
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field (or equivalent professional experience)
  • 3+ years of professional experience in data engineering or a related discipline
  • Strong relational database experience, including data modeling (star schema, snowflake schema, 3NF) and advanced SQL development (T-SQL, PL/SQL, or equivalent)
  • Proficiency in Python development for data engineering use cases (pandas, PySpark, API development, scripting, testing)
  • Hands-on experience with Databricks or Snowflake for data lakehouse/warehouse architecture and large-scale data processing
  • Experience building and deploying Azure Functions or similar serverless compute for data workflows
  • Working knowledge of Git-based platforms such as GitHub or Azure DevOps for version control, branching strategies, and CI/CD pipelines
  • Experience with data orchestration platforms such as Apache Airflow and/or Astronomer for pipeline scheduling, monitoring, and dependency management
  • Strong understanding of data warehousing concepts, ETL/ELT patterns, and data integration best practices
  • Excellent communication and collaboration skills with the ability to work cross-functionally in a fast-paced environment

Preferred Qualifications:
  • Industry certifications demonstrating proficiency in data engineering (e.g., Databricks Certified Data Engineer, Azure Data Engineer Associate DP-203, Snowflake SnowPro Core, Google Professional Data Engineer, AWS Data Engineer Associate)
  • Experience with a major cloud platform (Azure, AWS, or GCP) including infrastructure-as-code and cloud-native data services
  • Prior experience in sports, entertainment, media, or live events industries
  • Familiarity with streaming and real-time data technologies (Kafka, Event Hubs, Spark Structured Streaming)
  • Experience with data governance, cataloging, and lineage tools (Unity Catalog, Purview, Collibra)
  • Exposure to machine learning pipelines and MLOps practices
  • Experience with containerization (Docker, Kubernetes) and microservices architecture.

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