This is us

At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development.

This is the job

Our client is a leading tech company specializing in data-driven solutions for digital advertising and AI analytics. They provide scalable, high-performance data platforms for real-time decision-making, leveraging AI and machine learning to optimize marketing strategies.

They seek an experienced Automation QA Engineer to test high-volume data processing systems, ensure AI-driven solution reliability, and enhance automation frameworks.

The role focuses on automation but also requires some manual testing, specializing in Data/AI/ML, with the expectation to work in the client’s time zone at least until 2 PM PT (Pacific Time).

This is you

• 3–5+ years of experience in QA Engineering or SDET roles within data-driven or complex system environments.
• Ability to work in the client’s time zone at least until 2 PM PT (Pacific Time) — required.
• Solid programming and test automation skills using Python and SQL.
• Good understanding of testing data pipelines, data processing systems, and basic ML/AI workflows.
• Experience working with relational databases such as Postgres and familiarity with data warehouses (e.g., Snowflake).
• Knowledge of cloud platforms (AWS, GCP, or Azure) and their core services.
• Experience collaborating with cross-functional teams (Data Engineering, ML, Product).
• Good understanding of CI/CD processes and automated testing tools.
• Hands-on experience using version control systems such as GitHub or GitLab.
• Upper-Intermediate English level for daily communication.

This is your role

• Contribute to QA efforts across AI/ML-based products and enterprise data platforms.
  
  
• Build and maintain automated tests using Python and SQL.
  
  
• Support the creation and execution of test plans for ML models, including accuracy and stability checks.
  
  
• Validate ETL processes and data pipelines across systems like Postgres and Snowflake.
  
  
• Work closely with Data Engineers, ML Engineers, and Product Managers to help define and track quality metrics.
  
  
• Perform functional, integration, and performance testing for data-intensive systems.
  
  
• Identify, log, and track defects, collaborating with engineering teams on resolution.
  
  
• Contribute to improving QA processes, automation practices, and CI/CD integration.
  
  
• Support team knowledge sharing and participate in building a culture of quality and continuous improvement.
  

At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.