AI Data Quality Assurance Engineer

Intermediate AI Data Quality Assurance Engineer- New York office.

We are seeking a Data QA Engineer to ensure the quality reliability robustness and trustworthiness of datadriven platforms that support analytics and reporting. This includes validating data pipelines largescale datasets and inference outputs with selective exposure to LLMbased or agentic components where they consume or produce data.

This role goes beyond traditional UI or API testing and focuses on dataaware quality strategies including schema validation data completeness lineage reconciliation and performance. You will ensure that core data assets and any dependent analytics or AI components behave as expected across the full data and delivery lifecycle.

• Opportunity to work on enterprisescale data platforms supporting analytics reporting and downstream ML/AI use cases
• Ownership of data quality strategy tooling and automation across core data pipelines
• Close collaboration with Data Engineers Software Engineers Product Owners and Analytics teams
• Exposure to data validation frameworks largescale datasets and selective AIenabled data consumers
• A mandate to define measure and govern data quality standards across squads and delivery teams

• Define and own data quality strategies for datadriven platforms including pipelines transformations and downstream consumption layers
• Establish data quality gates covering accuracy completeness consistency timeliness and reliability
• Validate data behavior against business rules domain expectations and documented data contracts

• Design and execute tests for batch and streaming data pipelines ensuring endtoend data correctness
• Validate data transformations aggregations and reconciliations across multiple sources and consumers
• Ensure analytics reporting and ML inference outputs are accurate consistent and reproducible
• Validate data feeding LLMbased or agentic systems focusing on inputs outputs and impact on core datasets

• Validate dataset quality across ingestion transformation storage and consumption stages
• Enforce schema validation null checks referential integrity and lineage tracking
• Monitor for data drift anomalies volume changes and performance regressions postdeployment

• Build and maintain automation frameworks for data quality testing including rulebased and statistical checks
• Integrate data quality tests into CI/CD pipelines for continuous validation
• Leverage automation to scale coverage across large and evolving datasets while ensuring clear auditable results
• Automate UI and servicelevel validations to ensure data is correctly surfaced consumed and represented across dashboards reports APIs and downstream services

• Partner closely with Data Engineers Analytics teams Software Engineers and Product Owners throughout the delivery lifecycle
• Act as the quality authority for data assets within assigned squads
• Provide clear actionable feedback on data quality risks gaps and improvement opportunities

• Bachelors degree in Computer Science Software Engineering Data Science or a related technical discipline
  or equivalent practical experience in Quality Engineering for datadriven platforms
• Strong experience in QA or Quality Engineering preferably focused on data platforms analytics or reporting systems
• Handson experience validating data pipelines transformations and largescale datasets
• Proficiency in Python (or similar languages) for data validation automation and testing workflows
• Solid understanding of data engineering concepts including schema management data quality checks reconciliation and lineage
• Experience integrating data quality tests into CI/CD pipelines for continuous validation
• Experience validating downstream data consumers including analytics reporting layers services or APIs
• Exposure to ML inference outputs or AIenabled consumers with a focus on validating data inputs and outputs rather than model internals
• Familiarity with working in regulated or datasensitive environments including auditability and traceability requirements
• Experience with test automation frameworks used for data service or platform validation
• Awareness of AIenabled systems (e.g. LLMs or agentic workflows) where they consume or produce data is a plus but not required

Why Fitch

At Fitch Group the combined power of our global perspectives is what differentiates us. Our global network of colleagues comes together to accomplish things greater than they ever could alone.

Every team member is essential to our business and each perspective is critical to our success. We embrace a diverse culture that encourages a free exchange of ideas guaranteeing your voice will be heard and your work will have an impact regardless of seniority.

We are building incredible things at Fitch and we invite you to join us on our journey.

Fitch Group is a global leader in financial information services with operations in more than 30 countries. Wholly owned by the Hearst Corporation we are comprised of three main businesses: Fitch Ratings Fitch Solutions Fitch Learning.

For more information please visit our websites:

Fitch is committed to providing global securities markets with objective timely independent and forward-looking credit opinions. To protect Fitchs credibility and reputation our employees must take every precaution to avoid conflicts of interests or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you or your immediate family have any holdings that may conflict with your work responsibilities you may be asked to divest yourself of them before beginning work.

Fitch Group is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race color national origin religion sex sexual orientation gender identity disability protected veteran status and other statuses protected by law.

FOR NEW YORK ROLES ONLY: Expected base pay rates for the role will be between $115000 and $130000 per year. Actual salaries will be determined on an individualized basis and may vary based on factors including but not limited to education training experience past performance and other job-related factors. Base pay is one part of Fitchs total compensation package which depending on the position may also include commission earnings discretionary bonuses long-term incentives and other benefits sponsored by Fitch.

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