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Only W2 || Data Engineer (Linux, GCP, Globus) || Remote

Work from home Full-time role Hiring

Job Title: Data Engineer (Linux, GCP, Globus) Location: Rochester, NY Remote (Y/N): Yes (but preference is local profiles) Duration: 9 Months Mandatory skills: Linux, GCP, Globus Submission Requirements: Resume highlighting Globus, GCP, and MFT experience - short summary in the resume top, aligning to role requirements Job Description: The contractor will support the implementation, configuration, and operationalization of Globus Managed File Transfer (MFT) platform within a GCP-hosted Data DMZ environment. Responsibilities include completing Globus Connect Server deployment, configuring storage gateways and data transfer workflows, and onboarding research users while providing Tier 1/2 operational support. The role will focus on managing large-scale, secure data transfers, maintaining platform health, optimizing performance, and ensuring compliance with security and governance standards (HIPAA, NIST, Zero-Trust). The contractor will work closely with internal teams and stakeholders to establish operational processes, support production readiness, and deliver documentation and knowledge transfer to enable long-term ownership by the Enterprise Interfaces team. Required Skills: - 3+ years Globus platform experience (GCS v5, endpoints, collections) - Strong GCP (Compute Engine, Cloud Storage, IAM, networking) - Linux system administration and scripting (Bash) - Understanding of GridFTP and high-throughput data transfers - Experience with networking, security, and Zero-Trust principles - Background in MFT or large-scale data transfer environments Key Competencies: - Self-directed troubleshooting across infrastructure layers - Strong communication with technical teams and end users - Ability to support research/customer-facing workflows - Documentation and knowledge transfer mindset - Comfortable navigating governance and compliance processes Nice to Have: - Healthcare / regulated environment experience - Terraform / IaC or Azure DevOps exposure - Sailpoint or identity governance tools - HPC or research data workflows - Monitoring/observability tools Submission

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