Sr. Data Quality Engineer

WeVision LLC is a leading global streaming and media technology company seeking a Senior Data Quality Engineer to support data platform initiatives. This role focuses on ensuring the accuracy, reliability, and integrity of large-scale data systems and pipelines that power analytics and business insights across the organization.

Responsibilities:

• Validate ETL processes, transformation logic, and business rules across modern data platforms such as Snowflake and Databricks before code changes are released to production
• Partner closely with data engineering teams to proactively identify potential risks or data issues early in the development lifecycle
• Ensure the quality of every release through comprehensive testing strategies, including unit, integration, regression, and end-to-end data validation
• Design and implement automated and reusable tests to improve coverage, reduce regression risk, and accelerate development cycles
• Translate business and technical requirements into data validation scenarios that verify KPIs, metrics, and reporting accuracy
• Define and manage data quality metrics, SLAs, and validation frameworks for assigned data domains
• Improve and expand the existing data testing frameworks with a strong focus on automation and scalability
• Collaborate with data analysts, product managers, and engineering teams to ensure data accuracy, completeness, and usability
• Serve as a subject matter expert (SME) for data quality practices, mentoring junior engineers and supporting best practices across teams

Requirements:

• 5+ years of experience validating data pipelines, ETL processes, and data warehouse systems
• Expert-level SQL skills with experience analyzing and validating large datasets (terabytes or more)
• Hands-on experience with modern data platforms such as Snowflake, Hive, Databricks, or similar technologies
• Strong Python programming skills with experience building automated tests for data pipelines
• Familiarity with data pipeline orchestration and processing tools such as Airflow and Spark
• Strong analytical thinking and problem-solving abilities with high attention to detail
• Excellent collaboration and communication skills with the ability to work effectively across technical and business teams
• Experience with BDD testing frameworks such as Behave
• Experience working in cloud environments such as AWS
• Familiarity with data observability and quality monitoring tools such as Deequ, Great Expectations, Monte Carlo, or Datafold
• Experience with AI-assisted development tools such as GitHub Copilot or similar developer productivity tools
• Experience working in streaming, digital media, or large-scale consumer technology environments