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Open nowFirst seen 17 hours ago

Cloud Data Engineer

Vets Hired787 open roles

Where
Wright-Patterson Air Force Base, Ohio, United States
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Your applicationOpen nowCloud Data EngineerVets Hired · Wright-Patterson Air Force Base, Ohio, United States

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The clock on this job

Early applications get read.

11.9% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 17 hours ago

The posting

Job Summary

We are seeking a Cloud Data Engineer to design, implement, and manage scalable data and object storage solutions across on-premises, cloud, inter-region, and inter-cloud environments. This role focuses on building secure, resilient, and high-performance data architectures that support structured and unstructured data, high-velocity pipelines, and multi-cloud ecosystems. The Cloud Data Engineer will collaborate closely with platform, software, and analytics teams to ensure data and storage solutions align with mission-critical requirements.

Key Responsibilities

Seamless Data and Object Storage Management

  • Design, implement, and manage databases and object storage solutions across hybrid and multi-cloud environments
  • Enable seamless data and object movement and synchronization between environments with high availability and low latency
  • Engineer and optimize object storage platforms (e.g., S3-compatible systems, MinIO, Ceph) for durability, performance, lifecycle management, and secure access

Data and Storage Architecture Optimization

  • Build and maintain scalable data pipelines for structured and unstructured data, supporting ingestion, curation, metadata enrichment, and analytics workflows
  • Modernize storage architectures, including migration from legacy file-based systems to object-based storage
  • Implement data tiering, record/object-level authorization, and secure access controls

Collaboration and Integration

  • Partner with development teams to optimize database and object storage usage
  • Integrate data services with containerized platforms (e.g., Kubernetes) and CI/CD pipelines
  • Collaborate with platform engineers, DevSecOps teams, and mission stakeholders to meet operational needs

Governance and Security

  • Implement data governance policies, tagging, metadata schemas, and access controls
  • Develop and manage backup, restore, and disaster recovery procedures for databases and object storage
  • Monitor system performance and resolve capacity, availability, and performance issues

Documentation and Troubleshooting

  • Document architectures, data flows, configurations, and operational procedures
  • Troubleshoot complex data, storage, performance, and access issues across development, integration, and production environments

Required Qualifications

  • Bachelors degree in Computer Science, Engineering, Data Science, or a related STEM field (Masters preferred)
  • 5+ years of experience in data engineering, database administration, or object storage management
  • U.S. citizenship with the ability to obtain and maintain a TS/SCI security clearance
  • Proven experience managing databases and object storage across on-premises, cloud, inter-region, and inter-cloud platforms
  • Expertise with major cloud platforms (AWS, Google Cloud, or Microsoft Azure)
  • Hands-on experience with object storage technologies and data orchestration/automation tools
  • Strong proficiency in Python, SQL, and modern data engineering frameworks
  • Experience with both relational and non-relational databases
  • Knowledge of secure data handling, access controls, and data tiering
  • Ability to manage multiple priorities in a fast-paced environment

Desired Qualifications

  • Active TS/SCI clearance
  • Security+ CE or similar certification
  • Experience supporting Intelligence Community or mission-critical programs
  • Familiarity with data catalogs, search/indexing, and discovery tools
  • Experience with streaming data platforms and event-driven architectures
  • Knowledge of DevSecOps practices, security scanning, and accreditation processes
  • Understanding of analytics, machine learning, or large-scale data exploitation workflows
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