Quality Engineer II

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

What we're looking for:

You're a talented, creative, and motivated engineer who loves developing powerful, stable, and intuitive apps – and you're excited to work with a team of individuals with that same passion. You've accumulated years of experience, and you're excited about taking your mastery of Cloud, Big Data and Java to a new level. You enjoy challenging projects involving big data sets and are cool under pressure. You're no stranger to fast-paced environments and agile development methodologies – in fact, you embrace them. With your strong analytical skills, your unwavering commitment to quality, your excellent technical skills, and your collaborative work ethic, you'll do great things here at American Express.

Purpose of the Role:

As a Big Data QA Automation Engineer at American Express, you will play a key role in ensuring the quality, reliability, and performance of our big data platforms and solutions. Your impact will be felt through designing, developing, and maintaining robust automation frameworks that validate complex data pipelines, large-scale distributed systems, and analytics platforms. By identifying defects early, improving test coverage, and implementing preventive measures, you will help us deliver trusted insights and data-driven products that empower our colleagues and customers.

Responsibilities

• Design, develop, and implement automated testing frameworks for big data applications and ETL pipelines.
  
• Build and maintain test scripts for validating data ingestion, transformation, and storage across distributed systems (Hadoop, Spark, Hive, Kafka, etc.).
  
• Partner with data engineers, developers, and business stakeholders to define test strategies and quality standards.
  
• Perform end-to-end testing of large datasets, ensuring accuracy, completeness, and integrity.
  
• Develop monitoring solutions to prevent and detect issues in production environments.
  
• Execute performance, scalability, and reliability testing for big data ecosystems.
  
• Identify opportunities to improve automation, optimize testing processes, and reduce manual intervention.
  

Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
  
• Strong programming skills in Java, Python, or Scala with a focus on test automation.
  
• Hands-on experience with big data technologies (Hadoop, Spark, Hive, Kafka, HBase, etc.).
  
• Proven experience in building automation frameworks for large-scale data systems.
  
• Solid understanding of data structures, algorithms, and distributed computing concepts.
  
• Strong analytical, debugging, and problem-solving skills.
  

Preferred Qualifications

• Experience with cloud platforms (AWS, GCP, or Azure) and their big data services.
  
• Familiarity with CI/CD pipelines and tools (Jenkins, Git, Docker, Kubernetes).
  
• Exposure to data validation tools and libraries (e.g., Great Expectations, Deequ).
  
• Experience in performance testing and benchmarking big data applications.
  
• Knowledge of QA methodologies, best practices, and agile software development processes.
  

• Competitive base salaries 
• Bonus incentives 
• Support for financial-well-being and retirement 
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) 
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need 
• Generous paid parental leave policies (depending on your location) 
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) 
• Free and confidential counseling support through our Healthy Minds program 
• Career development and training opportunities