Senior Data QA Engineer - REMOTE

Jobgether

20h•Remote

About The Position

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data QA Engineer. In this pivotal role, you will ensure data quality and integrity across various technologies during critical enterprise transformations. Your efforts will directly impact mission-critical government projects, making sure that data migrations and analytics initiatives are successful. With your expertise, you will help shape the future of data management by performing validation and reconciliation processes to guarantee accuracy and completeness. This role is ideal for someone passionate about data quality and looking to make a significant contribution to the organization.

Requirements

8+ years of experience in Data Engineering, Data Warehousing, and/or Data Quality.
Hands-on experience with SQL, ETL/SSIS and data migration processes.
Strong experience with Azure, Dataverse, Dynamics 365, Power Platform, and on-prem data gateways.
Experience with data modeling, data pipelines, and cloud data platforms (Azure).
Ability to apply role-based security to Power Apps applications.
Understanding of on-prem Gateway and Cloud data exchange.
Experience developing Power BI dashboards for QA and operational reporting.

Responsibilities

Perform data quality validation, reconciliation, and source-to-target verification to ensure accuracy and completeness during system deployments, cutovers, and data migrations.
Analyze data outputs and reports using queries and validation techniques to confirm alignment with business rules and functional requirements.
Investigate data discrepancies, perform root cause analysis, and clearly document findings while partnering with technical teams to drive resolution.
Define, execute, and continuously improve data quality checks, validation criteria, and acceptance standards across applications and integrations.
Develop and maintain Power BI reports and dashboards to monitor data integrity, trends, and key performance indicators for leadership and stakeholders.
Validate data exchanges and integrations, ensuring accuracy, traceability, and compliance with data governance and security requirements.
Collaborate closely with business stakeholders, functional leads, QA, and engineering teams to strengthen data quality processes, testing coverage, and deployment readiness.
Develop and execute complex SQL queries.