Data Engineer

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 to automate provisioning workflows and infrastructure using scripting or infrastructure-as-code tools (Python, PowerShell, Bash, Terraform, ARM, or Bicep).
• Skilled in implementing secure identity and access management (IAM), RBAC models, and data governance practices within enterprise or federal environments.
• 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 onboarding, office hours, and white-glove assistance.

Preferred Skills and Experience:

• Experience with Data Analysis, Data Curation, Data Visualization (PowerBi), Python, Azure Synapse/Azure Data Factory, Azure Data Lake Storage, SQL Server.
• 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 customer-success-adjacent work such as onboarding, training, communications, or technical support.
• Ability to translate business needs into technical requirements and develop scalable solutions that improve platform efficiency.
• Knowledge of enterprise data systems common to healthcare or federal environments, especially data governance and data-security considerations.
• Experience with tools such as Jira, ServiceNow, 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 Trustclearance.

Posted Salary Range

USD $175,000.00 - USD $185,000.00 /Yr.