Data Engineer (Remote)

Govcio LLC•UNAVAILABLE, UNAVAILABLE

2d•Remote

About The Position

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.

Requirements

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.
Ability to obtain and maintain a suitability/Public Trust clearance.

Nice To Haves

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.

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.