Data Engineer, Cloud Platform
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Job Description
Cloud Platform and Data Engineer developing and optimizing data pipelines and cloud-native infrastructures. U.S. citizenship required for working with federal clients on secure solutions.
Responsibilities:
- Design and implement cloud-native data pipelines and storage architectures supporting large-scale analytics workloads.
- Develop and maintain infrastructure-as-code solutions using Terraform, Python, and CI/CD tools for automated provisioning and deployment.
- Architect scalable, resilient cloud data environments leveraging AWS, Azure, or GCP.
- Optimize data ingestion, transformation, and distribution frameworks for performance, security, and cost efficiency.
- Collaborate with DevSecOps, data science, and software teams to align platform engineering with business and mission objectives.
- Integrate and manage containerized workloads using Kubernetes, Docker, and related orchestration tools.
- Support monitoring, logging, and observability pipelines for system reliability and uptime.
- Ensure compliance with FedRAMP, NIST, and FISMA frameworks for secure federal cloud environments.
Requirements:
- 7+ years of technical experience designing and deploying secure, scalable cloud solutions
- Education: Bachelor’s degree or higher
- MUST BE A U.S. CITIZEN AND RESIDE IN THE U.S. All work must be performed in the U.S.
- Department of Homeland Security (DHS) Public Trust U.S. citizenship is mandatory, as this work is for a federal government client. Candidates will need to successfully complete a Background Investigation (BI) and credit check prior to beginning work. Nothing in applicants’ history should prevent them from obtaining a public trust security clearance.
Benefits:
- Remote Work: U.S. based remote position offering flexibility for work-life balance.
- Health Care: Comprehensive health care benefits.
- Paid Time Off (PTO): Generous PTO to support work-life balance.
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