Remote Cloud Data & Automation Engineer - AWS GovCloud

GovCIO

Cheyenne (WY)

Remote

USD 135,000 - 145,000

Full time

8 days ago
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Benefits offered by this job

EAP
Corporate discounts
Learning platform
Certification assistance
Referral bonus
Internal mobility
Pet insurance
Flexible work environment

Job summary

GovCIO is seeking a Cloud Data & Automation Engineer to support the migration and ongoing management of a large evidentiary data environment in AWS GovCloud. The role emphasizes data migration, automation, lifecycle management, replication, and secure data movement across AWS, Azure, and on-premises environments.

Ideal candidates will have extensive Python scripting experience and hands-on AWS experience, including DataSync and S3/Glacier workflows, to optimize storage costs and ensure secure,

Qualifications

  • Bachelor's degree preferred and 8+ years of experience or equivalent professional experience.
  • 5+ years of experience in cloud engineering, data engineering, or cloud automation.
  • 3+ years of hands-on AWS experience.
  • Experience in AWS GovCloud or comparable regulated cloud environments.
  • Strong Python scripting experience.
  • Strong experience using AWS CLI for automation and cloud operations.
  • Hands-on experience with Amazon S3 and S3/Glacier lifecycle policies.
  • Hands-on experience with AWS DataSync.
  • Hands-on experience with NetApp ONTAP and/or SnapMirror.
  • Experience performing large-scale data migrations and transfers.
  • Experience managing terabyte-to-petabyte-scale datasets.
  • Experience automating data movement, synchronization, validation, archival, and retrieval.
  • Understanding of cloud data lifecycle management.
  • Experience monitoring and troubleshooting high-volume data transfers and storage operations.
  • Understanding of cloud storage, data transfer, retrieval, and cost optimization.
  • Experience supporting secure data flows between AWS, Azure, and on-premises environments.
  • Knowledge of cloud security and compliance requirements.
  • Strong troubleshooting, analytical, documentation, and communication skills.

Responsibilities

  • Develop and maintain Python and AWS CLI automation for cloud data operations.
  • Design, execute, and troubleshoot large-scale data migration and transfer workflows.
  • Support AWS DataSync workflows for high-volume data transfers.
  • Configure and manage Amazon S3 storage and lifecycle policies.
  • Implement and support S3/Glacier archival and retrieval workflows.
  • Support NetApp ONTAP and SnapMirror replication activities.
  • Migrate active datasets to FSx ONTAP and historical datasets to S3/Glacier.
  • Automate data movement, synchronization, validation, archival, and retrieval processes.
  • Monitor and troubleshoot large-scale data transfers, synchronization, storage, and performance issues.
  • Manage and optimize cloud storage, transfer, archival, and retrieval costs.
  • Support secure data flows between AWS, Azure, and VA on-premises systems.
  • Develop scripts, automation workflows, runbooks, and technical documentation.
  • Analyze data transfer and storage requirements to support scalability and operational efficiency.
  • Coordinate with cloud infrastructure engineers, AWS engineering teams, VA platform teams, and application stakeholders.
  • Establish repeatable and sustainable processes for managing large-scale evidentiary data within the cloud environment.

Skills

Python scripting
AWS CLI
AWS GovCloud
S3/Glacier
DataSync
NetApp ONTAP/SnapMirror
Data migrations
Cloud data lifecycle
Cloud security & compliance
Troubleshooting & documentation

Education

Bachelor's degree in Computer Science / IT / Data Engineering or related field

Tools

Terraform
CloudFormation
FSx ONTAP
Azure

Job description

GovCIO is seeking a Cloud Data & Automation Engineer to support the migration and ongoing management of a large evidentiary data environment in AWS GovCloud. The role emphasizes data migration, automation, lifecycle management, replication, and secure data movement across AWS, Azure, and on-premises environments.

Ideal candidates will have extensive Python scripting experience and hands-on AWS experience, including DataSync and S3/Glacier workflows, to optimize storage costs and ensure secure,

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