Data Engineer (Remote)

Overview: GovCIO is hiring a Data Engineer to support the Department of Veterans Affairs (VA) Data Modernization initiative. In this role, the engineer will enable secure, scalable, and user‑friendly data environments that accelerate analytics and improve data accessibility across the enterprise. This position focuses on workspace automation, onboarding support, data platform usability, infrastructure provisioning, and white‑glove customer success to ensure VA users can rapidly adopt and leverage modern data tools. This position is fully remote within the United States. Responsibilities: * Design, build, and maintain automated processes for provisioning data workspaces, including PreProd and Prod environments, with appropriate tools, configurations, and access controls. * Pre‑create standardized workspaces with commonly used analytics, engineering, and visualization tools to streamline onboarding and enhance user experience. * Implement and manage linked services, mount points, and catalog configuration within Databricks and VA’s VHA Data Lake. * Support automated data warehouse access provisioning for eligible users, ensuring seamless integration with VA Cloud Data Warehouse (CDW) systems. * Provide white‑glove customer success services, including onboarding sessions, office hours, rapid async support, and creation of reusable templates, guides, and best‑practice documentation. * Collaborate with Customer Success, Business Analysts, and Platform Engineering teams to refine intake processes, improve user satisfaction, and standardize workspace deployment. * Develop migration guidance and self‑service resources to accelerate platform adoption and reduce user friction when transitioning from legacy data systems. * Troubleshoot user issues related to data access, workspace configuration, pipelines, cataloging, or permissions, escalating to engineering teams when needed. * Ensure compliance with VA security, governance, and documentation standards while maintaining high system reliability. * 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 related field (or commensurate experience) * 12\+ years of experience in business analysis, project management, or a similar role. * Strong experience with Databricks 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 unstructured datasets. * Experience with Databricks, including catalog creation, mount configuration, workspace management, and Service Principal setup. * Familiarity with modern data lakehouse architectures, distributed data systems, and cloud data engineering practices. * Ability