Data Engineer (Linux, GCP, Globus)

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