About the Role
The role involves designing, implementing, and maintaining automated testing frameworks focused on data integrity, ETL processes, and data pipelines within a fintech environment specializing in mortgage services.
Responsibilities
- Develop and execute test strategies for data-centric applications
- Create automated test scripts for data validation and pipeline checks
- Collaborate with data engineers and developers to ensure data accuracy
- Identify and report data quality issues across systems
- Design and maintain ETL testing frameworks
- Verify data transformations across staging and production environments
- Support continuous integration and delivery pipelines with automated tests
- Monitor data workflows for consistency and correctness
- Perform root cause analysis on data discrepancies
- Ensure compliance with data governance standards
- Work with large-scale datasets from multiple sources
- Validate data models and schema changes
- Improve test coverage for batch and real-time data processes
- Document testing procedures and results
- Contribute to data reliability and system performance
- Participate in agile development cycles
- Review technical designs from a testing perspective
- Integrate testing tools into data platforms
- Assist in troubleshooting production data issues
- Stay current with data testing best practices
Compensation
Competitive salary based on experience and location
Work Arrangement
Remote with team based in Mexico
Team
Collaborative engineering team focused on data reliability and fintech innovation
Why Join Us
- Opportunity to work on a cutting-edge mortgage platform transforming the fintech space
- Supportive environment that values technical excellence and continuous learning
Technology Stack
AWS, Python, Spark, SQL, Airflow, Jenkins, Git, Docker
Not available
