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Data Quality Engineer (Remote)

Remote · USA Full-time New today

reputed company is hiring a Data Quality Engineer to support the Department of Veterans Affairs (VA) Data Modernization initiative. In this role, the data quality engineer will assure the appropriate level of quality by the resolution of important defects by working with developers and/or engineers to ensure the software or hardware development process has an appropriate level of testing. This position is fully remote reputed company the United States.

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 access, 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 access flows, and user support operations.

Qualifications

Required Skills and Experience: 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 access 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 access, 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. Preferred Skills and Experience: 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 access 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. Clearance Required Ability to obtain and maintain a suitability/Public Trust Posted Salary Range USD $175,000.00 - USD $195,000.00 /Yr. Apply To This Job

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