Data Quality Engineer at Concentrix in Texas

Data Quality Engineer Location: USA, TX, Work-at-Home Job Title: Data Quality Engineer Job Description We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled. The global technology and services leader that powers the world’s best brands, today and into the future. We’re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we’re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent. The Concentrix Technical Products and Services team is the driving force behind Concentrix’s transformation, data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and intelligence-fueled experiences. We combine human-centered design, powerful data, and strong tech to accelerate transformation at scale. You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience. Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision. Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we’re proud to be recognized with awards such as "World's Best Workplaces," “Best Companies for Career Growth,” and “Best Company Culture,” year after year. Join us and be part of this journey towards greater opportunities and brighter futures. Title: Data Quality Engineer (AWS Data Platform) Location: Remote in USA Overview We are seeking a highly skilled Data Engineering - Quality Engineer to define and implement end-to-end testing strategies for a modern data platform built on AWS. This role will be responsible for ensuring data quality, reliability, and performance across the entire pipeline; from ingestion to transformation and reporting; within the Redshift BI Foundations program. Key Responsibilities Define the end-to-end testing scope based on solution architecture and project OPM documentation Design and implement a comprehensive testing strategy and plan aligned with organizational QA standards Develop and maintain test scripts and frameworks for the Redshift BI Foundations platform Perform testing across key technologies, including: AWS Redshift AWS DMS (Data Migration Service) AWS Glue Terraform Python-based data pipelines Apache Airflow (via Astronomer managed interface) dbt (data build tool) Soda.io (data quality and observability) Build and implement automated testing solutions to ensure: End-to-end data validation Data ingestion accuracy Transformation logic integrity Data pipeline reliability Conduct test coverage analysis and ensure adequate validation across all data engineering workflows Prepare and manage test data Review and provide feedback on: Solution architecture Data models Design and technical documentation Collaborate with cross-functional teams (Data Engineering, BI, DevOps, Product) to: Identify testing impacts Mitigate risks Ensure high-quality deliverables Required Qualifications Proven experience in data engineering testing / data QA / ETL validation Strong hands-on experience with AWS data services (Redshift, Glue, DMS) Proficiency in Python for test automation and validation Experience with Airflow (Astronomer preferred) and orchestration testing Hands-on experience with dbt and data transformation validation Familiarity with Terraform for infrastructure validation Experience in BI testing in Tableau will be highly beneficial Experience with data quality tools such as Soda.io or similar Strong understanding of: Data warehousing concepts ETL/ELT pipelines Data validation techniques (schema, reconciliation, anomaly detection) Preferred Qualifications Experience designing enterprise-level test strategies for data platforms Knowledge of CI/CD pipelines for data and test automation Experience working in Agile / Scrum environments Familiarity with data observability frameworks The base salary range for this position is $92,250 to 120,000 plus incentives that align with individual and company performance. Actual salaries will vary based on work location, qualifications, skills, education, experience, and competencies. Benefits available to eligible employees in this role include medical, dental, and vision insurance, comprehensive employee assistance program, 401(k) retirement plan, paid time off and holidays. The deadline to apply for this position is: 04/30/2026. This position is for an existing, immediate vacancy. We are currently seeking to fill this role with an individual who can start as soon as possible. As part of the hiring process, candidates may be required to undergo background screening and identity verification, where permitted by applicable law and consistent with the requirements of the role.  Certain verification processes used by the Company or its service providers may involve technologies that rely on biometric identifiers or biometric information, where permitted by law.  If biometric identifiers or biometric information are collected, used, or stored, the Company will provide the legally required disclosures and obtain any required written consent prior to such collection, and will handle such information in accordance with applicable biometric privacy laws and Company policies. Physical and Mental Requirements Equal Employment Opportunity For more information regarding your EEO rights as an applicant, please visit the following websites: English:https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf Spanish:https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRightsSp6.12.pdf Accommodation Artificial Intelligence Work Authorization In accordance with federal law, only applicants who are legally authorized to work in the United States will be considered for this position. Must reside in the United States or have a valid U.S. address for residence. For further information on available work states and Equal Employment Opportunity as an applicant, please visit: https://jobs.concentrix.com/north-america-equal-employment-opportunity-information/ #WAH #LI-Remote #Concentrix Location: USA, TX, Work-at-Home Language Requirements: Time Type: Full time Equal Employment Opportunity: Concentrix is an equal opportunity and affirmative action (EEO-AA) employer. We promote equal opportunity to all qualified individuals and do not discriminate in any phase of the employment process based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy or related condition, disability, status as a protected veteran, or any other basis protected by law. For more information regarding your EEO rights as an applicant, please visit the following websites: ·    English ·   Spanish Accommodation: Concentrix welcomes and encourages applications from candidates with disabilities and is committed to providing an inclusive recruitment process. If you require reasonable accommodation to participate in any stage of the application or interview process, please let us know. Requests may be made by contacting app.acco@concentrix.com.  All information will be treated confidentially and used solely to facilitate your participation in the recruitment process. Artificial Intelligence: As part of our recruitment process, we may use artificial intelligence (AI) tools to assist in the screening and/or assessment of job applicants. These tools could be used to evaluate resumes, applications, and other materials submitted to help us identify the best candidates for the role. Work Authorization: In accordance with federal law, only applicants who are legally authorized to work in the United States will be considered for this position. Must reside in the United States or have a valid U.S. address for residence. For further information on available work states and Equal Employment Opportunity as an applicant, please click HERE