Data QA Engineer
Role summary
Seeking a detail-oriented Data QA Engineer/Test Lead in Boston, MA, to ensure quality across critical data platforms. Responsibilities include executing end-to-end data testing for pipelines, transformations, and integrations, validating Snowflake and DBT pipelines, performing data validation and reconciliation, and testing MDM solutions. The role involves building automation frameworks using DVS, Power Query, and VBS, collaborating with cross-functional teams, and using BI tools like Tableau/Power BI for reporting. Proficiency in SQL and Git is essential. Experience with Spotfire is required, and cloud platforms (AWS, Azure, GCP) and data governance are preferred.
Hiring: Data Test Lead / Data QA Engineer | Snowflake + DBT + Spotfire
Location: Boston, MA
We are looking for a highly detail-oriented Data Testing Specialist / Test Lead to join our team in Boston, MA and drive quality across critical data platforms.
What You’ll Do:
- Execute end-to-end data testing for pipelines, transformations, and integrations
- Validate Snowflake + DBT pipelines for accuracy, scalability, and performance
- Perform data validation, profiling, and reconciliation
- Test and validate MDM solutions and enterprise data consistency
- Build automation frameworks using DVS, Power Queries, VBS
- Collaborate with data engineers, analysts, and business teams
- Use Tableau / Power BI for validation and reporting
- Manage code using Git / Bitbucket
- Work in Agile using Jira & Confluence
Must Have:
- Strong experience in Data Testing / ETL / BI Testing
- Hands-on expertise with Snowflake and DBT (mandatory)
- Experience with Spotfire (TIBCO Spotfire)
- Strong knowledge of MDM & Data Validation techniques
- Experience with automation tools (DVS, Power Query, VBS)
- SQL proficiency and data analysis skills
Nice to Have:
- Experience with AWS / Azure / GCP
- Exposure to data governance frameworks
