Data Quality Engineer (AWS Data Platform)

**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**

The employee is regularly required to operate a computer, keyboard, telephone/headset, and/or other office equipment as essential functions of this position. Work is generally sedentary in nature.

• *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:** welcomes and encourages applications from candidates with disabilities and is committed to providing an inclusive recruitment process. If you require