Sr. Data QA Engineer
Quality Assurance
Sr. Data QA Engineer
Heredia, Costa Rica
- Posted
- 09/09/2026
- Job reference
- 14870
- Experience level
- Experienced Hire
- Job category
- Engineering & Technology
- Line of business
- DC&I
At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
Skills and Competencies
Expertise in Python and Structured Query Language, including Snowflake, PostgreSQL, and Databricks, for data testing and quality assurance
Proficiency in dbt to create data models, understand data transformations, implement data tests, and identify data quality issues
Strong knowledge of Amazon Web Services, including Amazon S3, Amazon DynamoDB, AWS Glue, and AWS Lambda
Strong knowledge of continuous integration and continuous delivery pipelines, DevOps practices, test automation tools, and testing frameworks
Familiarity with Apache Airflow for understanding data extraction, transformation, and loading workflows, as well as version control tools such as Git
Excellent decision-making, problem-solving, communication, and presentation skills, with the ability to translate complex requirements into effective quality assurance solutions
Ability to influence change, coordinate solutions across teams, and provide guidance on quality assurance standards and best practices
Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use.
Education
Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent professional experience
Responsibilities
Lead data quality engineering practices that ensure reliable data and scalable testing across Moody’s products and platforms.
Ensure data is reliable, accurate, and fit for use by data consumers
Lead the design and implementation of comprehensive data test strategies and plans
Develop and maintain automated test frameworks using dbt and Python data quality libraries
Conduct code reviews and provide actionable feedback to strengthen data quality
Debug data quality issues, identify root causes, and recommend effective solutions to data engineers
Drive the adoption of quality assurance standards, best practices, and continuous process improvement
Serve as a subject matter expert on assigned projects involving financial information
Promote consistent data quality practices and coordinate solutions across engineering and product teams
About the Team
Our Digital Content and Innovation (DC&I) team is responsible for building and deploying intelligent, AI-powered solutions that drive innovation across Moody's products and platforms. We contribute to the organization by accelerating the development of next-generation analytical tools, enabling smarter client experiences, and advancing Moody's leadership in applied artificial intelligence.
The group brings together engineers, data scientists, and AI specialists who work across the full AI lifecycle, from experimentation and prototyping through to large-scale production deployment, while shaping the reusable platforms, frameworks, and responsible AI practices the wider organization builds on.
By joining the team, you will write the code behind those products, working alongside experienced engineers on some of the most interesting problems in applied AI, with the support, code review, and mentorship to keep growing — leveraging cutting-edge cloud technologies and machine learning frameworks to transform how Moody's delivers insight and value, responsibly and at scale.
Click here to view our full EEO policy statement (opens in new window). Click here for more information on your EEO rights under the law (opens in new window). Click here to view our Pay Transparency Nondiscrimination statement (opens in new window).
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
For more information on the Securities Trading Program, please refer to the Securities Trading Policy (opens in new window) on Moody’s Compliance Expo page (opens in new window)
Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.