Cloud Data Engineer

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profile Job Location:

Wright Patterson AFB, OH - USA

profile Monthly Salary: Not Disclosed
Posted on: 2 hours ago
Vacancies: 1 Vacancy

Job Summary

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

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 structure...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala