DATA QUALITY ENGINEER (MID-LEVEL) @ WORKCOG
Workcog is seeking a dedicated Data Quality Engineer for a mid-level role focused on long-term contract projects within the US. This 100% remote position involves a 12-month initial term with potential for extension, operating strictly on a W2 basis. The successful candidate will play a critical role in ensuring the integrity and accuracy of our data systems, utilizing a modern tech stack that includes Snowflake, Azure, and Power BI. The primary responsibilities of this role involve performing sophisticated SQL-based data validation, executing ELT pipeline testing, and conducting comprehensive source-to-target validations. You will be expected to validate complex transformations and business rules, perform regression testing, and ensure that data presented in Power BI dashboards is precise and reliable. Additionally, you will collaborate closely with Data Engineering and Analytics teams to log defects and resolve data issues, maintaining high standards of data quality across the organization.
Key Requirements
At least 10 years of experience in Data Quality, Data QA, or Data Testing.
Strong hands-on experience with Snowflake and writing complex SQL queries.
Experience in ELT pipeline testing and thorough source-to-target data validation.
Familiarity and exposure to the Azure data ecosystem.
Scripting experience using Python and/or PowerShell for automation.
Experience validating data accuracy in Power BI reports and dashboards.
Ability to validate complex data transformations and business rules.
Proficiency in performing SQL-based data validation including window functions.
Experience conducting data quality testing and regression testing cycles.
Collaborative mindset to work with Data Engineers and Analytics teams on defect logging.