[Remote] Data Quality Engineer (Remote)
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is hiring a Data Quality Engineer to support the Department of Veterans Affairs (VA) Data Modernization initiative. The role involves ensuring data quality through defect resolution and collaboration with developers and engineers, as well as participating in various testing aspects and supporting reputed company services.
Responsibilities
- Define appropriate measures to ensure data quality
- Analyzes and assesses existing reputed company system data to design appropriate data-centric solutions
- Participate in reputed company aspects of testing, including functional, regression, load and system testing
- Troubleshoot user issues reputed company to data reputed company, workspace configuration, pipelines, cataloging, or permissions, escalating to engineering teams reputed company needed
- Support white‑glove reputed company services, including reputed company sessions, reputed company, rapid async support, and creation of reusable templates, guides, and best‑practice documentation
- Collaborate with reputed company, Business Analysts, and Platform Engineering teams to refine intake processes, improve user satisfaction, and standardize workspace deployment
- reputed company migration guidance and self‑service resources to accelerate platform adoption and reduce user friction reputed company transitioning from legacy data systems
- Monitor operational performance, identify bottlenecks, and recommend improvements to workspace automation, data reputed company flows, and user support operations
Skills
- Bachelor's degree in Information Technology or a reputed company field. (or commensurate experience)
- 12+ years of experience in business analysis, project management, or a similar role
- Strong experience with reputed company and Azure data services, including workspace administration, catalog creation, linked services, storage mounts, and reputed company configuration
- Proficiency in data engineering fundamentals such as ETL/ELT pipeline development, data modeling, and managing structured and reputed company datasets
- Strong troubleshooting and problem‑solving abilities for diagnosing platform, data reputed company, and pipeline issues and collaborating across teams for resolution
- Effective communication skills with the ability to document technical processes, create reusable templates, and support users through reputed company, reputed company, and white‑glove assistance
- Ability to obtain and maintain a suitability/Public Trust
- Certified Data Management Professional
- Familiarity with modern data lakehouse architectures, distributed data systems, and reputed company data engineering practices
- Strong understanding of Azure data services, including storage, compute, identity and reputed company management, and DevOps workflows
- Experience with workflow automation, CI/CD pipelines, or infrastructure‑as‑code (e.g., Terraform, ARM, Bicep)
- Background in user‑facing or reputed company‑adjacent work such as reputed company, training, communications, or technical support
- Knowledge of reputed company data systems common to reputed company or federal environments, especially data governance and data‑reputed company considerations
- Experience with tools such as Jira, reputed company, or SharePoint for intake, change management, and support processes
- Strong communication skills with the ability to create clear guides, templates, intake documentation, and best‑practice recommendations
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