Advisor360°Remote
Senior Data Quality Engineer
United States of America
Full Time
1 hour ago
$134,000 - $156,000 USD
No H1B
Key skills
Data Quality EngineeringQuality EngineeringSoftware TestingSQLDatabase TestingData ValidationETL TestingELT TestingCloud Data PlatformsSnowflakeMySQLdbtData Quality Tools - Monte CarloData Quality Tools - SiffletPythonTest Automation FrameworksREST API TestingPostmanSwaggerAutomation FrameworksGitHubBitbucketCI/CD PipelinesAI-assisted Development Tools - CopilotAI-assisted Testing Tools - AugmentAgile MethodologiesScrum MethodologiesAIETLELTData EngineeringSaaSAgileScrumCI/CD
About this role
Advisor360° is a leading SaaS platform in the fintech space, transforming how wealth management firms operate. They are seeking a Senior Data Quality Engineer to ensure the quality, accuracy, and reliability of enterprise data platforms and drive quality best practices across the organization.
Responsibilities:
- Lead QA efforts across software and data engineering initiatives
- Define testing strategies, quality standards, and best practices
- Design, develop, and maintain automated test frameworks and regression suites
- Validate ETL/ELT pipelines, data transformations, and data warehouse solutions
- Develop automated data quality checks and reconciliation processes
- Perform end-to-end testing of APIs, applications, and data products
- Analyze large datasets using SQL to identify defects, anomalies, and data quality issues
- Collaborate with engineers to ensure adequate test coverage and quality throughout the development lifecycle
- Lead troubleshooting, root cause analysis, and issue resolution activities
- Participate in release validation, sprint planning, backlog refinement, and other Agile ceremonies
- Mentor team members and contribute to continuous improvement initiatives
Requirements:
- 5+ years of experience in Quality Engineering, Data Quality Engineering, or Software Testing
- Strong experience with SQL, database testing, and data validation
- Experience testing ETL/ELT processes, data transformations, and cloud data platforms
- Strong programming skills in Python and test automation frameworks
- Experience testing REST APIs using tools such as Postman and Swagger
- Experience building and maintaining scalable automation frameworks
- Familiarity with GitHub, Bitbucket, and CI/CD pipelines
- Strong analytical, troubleshooting, and problem-solving skills
- Experience leading QA initiatives and driving quality best practices
- Knowledge of Agile/Scrum methodologies
- Experience with SQL and relational databases; experience with Snowflake and MySQL is preferred
- Experience with dbt is highly preferred
- Experience with data quality/observability tools like Monte Carlo, Sifflet
- Experience using AI-assisted development and testing tools such as Copilot and Augment
- Financial services or fintech experience is a plus