Cloud Data Engineer (Remote)

GovCIO

remote global$175k-$200k/yrPosted Jul 2, 2026
Posting intelligenceActively listedReposted 8×, possible evergreen/ghost posting

Skills

kubernetesdatabricksterraformansiblegithubpythonazureaws

About the role

Overview:

GovCIO is seeking an experienced Cloud Data Engineer to support the Department of Veterans Affairs (VA) Data Modernization initiative. This role focuses on designing, provisioning, and automating cloud-based data workspaces that accelerate user onboarding, improve data accessibility, and strengthen platform reliability. The ideal candidate will work hands‑on with modern cloud tools, Databricks, VHA Data Lake integrations, and automated workspace creation. This position is fully remote, located in the United States.

Responsibilities:

Create cloud workspaces equipped with the most commonly used tools to ensure rapid assignment and reduced onboarding friction.

Automate provisioning processes for user intake, workspace creation, and core Corporate Data Warehouse (CDW) access.

Map new users to the appropriate workspace personas and configurations through an improved intake workflow.

Build and configure workspaces in PreProd (with live data) or Prod environments, including setup of Service Principals, workgroup personas, access controls, and security configurations.

Create and manage linked services, mount points, and integrations between Databricks and the VHA Data Lake.

Develop and maintain Databricks catalogs to support streamlined data discovery and governed access.

Collaborate with data platform engineers, security teams, and analytics stakeholders to ensure compliant and efficient workspace operations.

Troubleshoot issues related to cloud provisioning, access, and workspace functionality, delivering timely and high‑quality support.

Contribute to continuous improvement initiatives including automation enhancement, intake optimization, and workspace standardization.

Document processes, SOPs, access models, and configurations to support operational transparency and repeatability.

Provide white‑glove support to new and existing users, ensuring strong adoption and high user satisfaction.

Qualifications:

Required Skills and Experience:

Bachelor’s degree in Information Technology, or a related field. (or commensurate experience)

12+ years of experience in cloud tools, Databricks, Data Lake integrations, and workspace provisioning.

Strong analytical, problem solving, and communication skills

Preferred Skills and Experience:

Azure Administrator and/or AWS Cloud Practitioner certification

Experience with SQL SErver, Active Directory, Data Lake design, data governance, cloud migration, business intelligence, GitHub, Terraform, ansible and Kubernetes.

Hands-on experience with Azure or other major cloud platforms.

Experience with Databricks workspace administration, catalog creation, mount configurations, and cluster setup.

Familiarity with cloud identity and access management (IAM), including Service Principals, role-based access control (RBAC), and persona‑based configurations.

Working knowledge of data lake architectures, especially Delta Lake or similar structured storage solutions.

Experience automating cloud provisioning workflows (e.g., Terraform, ARM, Bicep, PowerShell, Python).

Background supporting enterprise-scale data modernization or cloud migration initiatives.

Understanding of intake workflows, user provisioning, or data-access onboarding processes.

Ability to collaborate with cross-functional engineering and business teams.

Strong documentation practices and experience building standard operating procedures.

Experience supporting public sector or healthcare data environments is a plus.

Clearance Required

Ability to obtain and maintain a suitability/Public Trust

Posted Salary Range: USD $175,000.00 - USD $200,000.00 /Yr.

Questions about this role

Click "Apply with AI Applyd" above. We auto-fill the application from your resume and answer screening questions in seconds. No copy and paste, no juggling tabs.

Compensation varies by seniority, employer size, and location. When this listing publishes a salary band you'll see it in the badge row above the description.

Most applications complete in under 90 seconds. You can track the status in your dashboard and watch the screenshot proof land the moment the application submits.

AI Applyd supports Greenhouse, Lever, Ashby, Workday, iCIMS, SmartRecruiters, Personio, Teamtailor and other major ATS platforms. If we can submit through the platform, we do.

Want AI Applyd to auto-apply to roles like this?

We tailor your resume per posting, fill the forms, and track replies for you.