Remote Cloud Data Engineer — Automation & Migration

GovCIO; Saint Paul (MN); Remote; USD 135,000 - 145,000; Full time

Benefits offered by this job

EAP

Corp Discounts

Learning & Development platform

Certification support

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‑scale evidentiary data environment within AWS GovCloud. The role focuses on data migration, automation, storage lifecycle management, replication, archival, retrieval, and secure data movement across AWS, Azure, and VA on‑premises systems.

The ideal candidate will have strong Python, AWS CLI, S3/Glacier, DataSync, SnapMirror experience and will develop scripts, automate data workflows,

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Engineering, Engineering, or a related field preferred and 8+ year of experience.
• 5+ years of experience in cloud engineering, data engineering, or cloud automation.
• 3+ years of hands‑on AWS experience.
• Experience working 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.
• Experience implementing and managing S3/Glacier lifecycle policies and archival solutions.
• 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.
• Support migration of 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

AWS CLI

Data migration

Cloud security

Troubleshooting

Education

Bachelor's degree in Computer Science or related field

Tools

AWS GovCloud

S3

Glacier

DataSync

NetApp ONTAP

SnapMirror

FSx ONTAP

Terraform/CloudFormation

Job description

GovCIO is seeking a Cloud Data & Automation Engineer to support the migration and ongoing management of a large‑scale evidentiary data environment within AWS GovCloud. The role focuses on data migration, automation, storage lifecycle management, replication, archival, retrieval, and secure data movement across AWS, Azure, and VA on‑premises systems.

The ideal candidate will have strong Python, AWS CLI, S3/Glacier, DataSync, SnapMirror experience and will develop scripts, automate data workflows,