Data Engineer, Cloud Platform [U.S. Citizenship Required]

Type: Full-time Employee (W-2) position
Salary Range: $100,000 – $130,000
Experience: Minimum of 7 years of relevant technical experience
Residence: Current U.S. residence and within U.S. for 3 of the past 5 years
Location: 100% United States (U.S.) Based Remote with ALL work performed within the U.S.
Trail Pass: U.S. Citizenship required to obtain a Public Trust clearance
Please note: U.S. citizenship is defined as someone born in the U.S. or who obtained citizenship through naturalization, which the government will verify. The government has excluded non-citizen nationals, lawful permanent residents (green card holders), refugees, or those on temporary visas.

About Via Logic LLC:
Via Logic LLC is an information technology partner supporting mission-driven work across DevSecOps, cloud engineering, data science, cybersecurity, and national security analytics. Our team includes engineers, developers, architects, and problem-solvers who work alongside federal partners such as DHS, DOJ, and DOD, as well as select commercial clients, to deliver solutions that matter.
We focus on modernizing complex environments by automating infrastructure, improving security, enabling cloud-native operations, applying DevSecOps practices, and helping organizations make smarter use of their data. Our work spans everything from enterprise architecture to AI/ML implementations and identity management, giving our clients practical solutions and clear paths forward.
We also put a lot of care into how we work. Via Logic values flexibility, collaboration, and a people-first culture that supports work-life balance and gives our team the space to do meaningful, high-impact work—wherever mission needs take us.
About the Role:

Via Logic LLC is seeking a Cloud Platform and Data Engineer (SME Level: Computer Systems Engineer/Architect) to design, build, and maintain secure, scalable, and cloud-native data infrastructures.
This role will focus on developing and optimizing data pipelines, storage systems, and automation frameworks that power analytics, intelligence, and mission-critical decision-support systems across multi-cloud environments.

The ideal candidate combines deep cloud engineering experience with strong data architecture and automation expertise.

**Candidates must meet public trust clearance requirements

Basic 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.
  

• 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.

• Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.
• 7+ years of experience in cloud engineering, data engineering, or platform architecture.
• Expertise in AWS, Azure, and/or GCP cloud services and architectures.
• Proficiency in Terraform, Python, and CI/CD automation (GitLab, Jenkins, or GitHub Actions).
• Strong understanding of Kubernetes, containerization, and microservices deployment.
• Proven experience with data pipelines, ETL workflows, and cloud-based storage optimization.
• Strong problem-solving and analytical mindset with a focus on automation and performance.
• U.S. Citizenship required (Public Trust eligibility).

• AWS Certified Solutions Architect – Professional
• Microsoft Certified: Azure Solutions Architect Expert
• GCP Professional Cloud Architect
• HashiCorp Terraform Associate
• Certified Kubernetes Administrator (CKA)

Via Logic LLC Perks & 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.
• Full-time W2 position.