Snowflake Cortex AI Tester

Cognizant

Boston (MA)

Hybrid

USD 100,000 - 115,000

Full time

7 days ago

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Benefits offered by this job

Health insurance

401(k) with company match

Generous PTO

Training and certification

Job summary

Cognizant is seeking a Senior Data Testing Engineer to join the Data Engineering and QA team. You will ensure the quality, integrity, and performance of enterprise data platforms, pipelines, and AI-powered solutions with a strong focus on Snowflake and AI testing practices.

The role emphasizes automated testing, complex SQL validation, ETL/ELT pipeline testing, and collaboration with Data Engineering, Analytics, Product, and Business teams.

Qualifications

Bachelor's degree or equivalent in CS/IT/related field or equivalent experience.
7+ years of experience in Data Quality Assurance, Data Testing, or Data Engineering.
Deep hands-on Snowflake experience including architecture, performance, and best practices.
Advanced SQL skills with complex data validation queries.
Experience testing complex ETL/ELT pipelines and data integration tools.
Experience designing automated data testing frameworks and integrating them into CI/CD.

Responsibilities

Design, develop, and maintain scalable automated testing frameworks for data platforms and ETL/ELT processes.
Validate data transformations and business rules for accuracy and integrity.
Perform source-to-target data validation and end-to-end quality testing.
Develop and execute complex SQL queries to validate data models and reporting outputs.
Collaborate with cross-functional teams to define testing strategies and quality standards.
Integrate automated data testing into CI/CD pipelines for continuous testing.

Skills

Snowflake

SQL

ETL/ELT testing

Data quality

Automation frameworks

CI/CD

Education

Bachelor's degree or equivalent in CS/IT/related

Tools

dbt

Fivetran

Snowflake

Job description

Senior Data Testing Engineer - Snowflake & AI Testing

About Cognizant

Cognizant (NASDAQ: CTSH) is one of the world's leading professional services companies, helping clients modernize technology, reimagine processes, and transform experiences so they can stay ahead in a rapidly changing world. Our associates work with some of the world's most recognized organizations to deliver innovative solutions across digital engineering, cloud, data, AI, and business transformation.

At Cognizant, we foster an inclusive, collaborative, and high-performing culture where diverse perspectives drive innovation and create meaningful impact for our clients.

Senior Data Testing Engineer - Snowflake & AI Testing

Job Summary

Cognizant is seeking an experienced Senior Data Testing Engineer to join our Data Engineering and Quality Assurance team. In this role, you will be responsible for ensuring the quality, integrity, reliability, and performance of enterprise data platforms, data pipelines, and AI-powered solutions.

The ideal candidate will possess deep expertise in Snowflake, advanced SQL, and automated data testing methodologies, along with experience validating complex ETL/ELT pipelines. This role requires a strong quality mindset, excellent analytical skills, and the ability to collaborate with cross-functional teams to deliver high-quality data products. Experience or familiarity with Snowflake Cortex AI and AI testing practices is highly desirable.

Key Responsibilities

Design, develop, and maintain scalable automated testing frameworks for data platforms, data warehouses, data lakes, and ETL/ELT processes.
Validate data transformations and business rules to ensure accuracy, completeness, consistency, and integrity across systems.
Perform source-to-target data validation, reconciliation, and end-to-end data quality testing.
Develop and execute complex SQL queries to validate data models, transformations, and reporting outputs.
Conduct performance validation and testing to ensure efficient utilization of Snowflake resources and optimal platform performance.
Collaborate with Data Engineering, Analytics, Product, and Business teams to define testing strategies and quality standards.
Integrate automated testing solutions into CI/CD pipelines to support continuous testing and rapid deployment of data assets.
Identify, document, prioritize, and track defects through resolution while driving root-cause analysis and process improvements.
Support testing and validation of AI-driven data solutions, including applications leveraging Snowflake Cortex AI capabilities.
Create and maintain test plans, test cases, automation assets, and quality metrics documentation.
Mentor and guide junior QA and Data Testing Engineers on testing best practices, automation techniques, and Snowflake technologies.
Contribute to continuous improvement initiatives focused on data quality, testing efficiency, and engineering excellence.

Required Qualifications

Bachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related field, or equivalent work experience.
7+ years of experience in Data Quality Assurance, Data Testing, or Data Engineering with a significant focus on testing and validation.
Deep hands-on experience with Snowflake, including architecture, data structures, performance optimization, and best practices.
Advanced proficiency in SQL and experience developing complex queries for data validation and analysis.
Strong experience testing complex ETL/ELT pipelines and modern data integration solutions.
Experience working with tools and frameworks such as dbt, Fivetran, or similar data engineering technologies.
Experience designing and implementing automated data testing frameworks.
Strong understanding of data warehousing concepts, dimensional modeling, and data quality principles.
Experience integrating automated testing into CI/CD environments.
Excellent analytical, troubleshooting, and problem-solving skills with strong attention to detail.
Strong communication and stakeholder management skills with experience working in Agile delivery teams.

Preferred Qualifications

Hands-on experience or strong familiarity with Snowflake Cortex AI.
Experience testing AI, machine learning, or generative AI-enabled applications.
Knowledge of cloud-based data architectures and modern data platforms.
Experience with data observability, monitoring, and quality management tools.
Relevant Snowflake, cloud, or data engineering certifications.

Why Cognizant

Work with industry-leading cloud, data, and AI technologies.
Collaborate with highly skilled global teams on innovative transformation programs.
Access continuous learning, certification, and career growth opportunities.
Be part of an inclusive culture that values diversity, innovation, and professional development.

Equal Opportunity Employer Statement

Cognizant is an equal opportunity employer. We are committed to fostering a workplace where all employees are valued, respected, and empowered to succeed. Employment decisions are made without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, disability, veteran status, or any other protected characteristic under applicable law.

We are committed to providing reasonable accommodations for qualified individuals with disabilities during the application and employment process. Please contact us if you require accommodation or assistance.

Compensation

Base Salary Range: $100,000 - $115,000 per year
Final compensation is based on experience, skills, and location
Eligible for performance-based bonuses and incentive compensation

Benefits

Cognizant offers a comprehensive benefits package designed to support your overall well-being and career growth:

Health & Wellness: Medical, dental, and vision insurance
Financial Security: 401(k) with company match, life insurance, disability coverage
Time Off: Generous PTO, paid holidays, and parental leave
Learning & Development: Training programs, certifications, and career advancement opportunities
Flexible Work Model: Hybrid work environment supporting work-life balance
Employee Programs: Wellness initiatives, employee resource groups, and recognition programs

Why Join Cognizant?