Data Engineer - Globus MFT & GCP

You’ll play a critical role in operationalizing a Globus MFT platform within a GCP-hosted Data DMZ, supporting researchers and enterprise teams while ensuring performance, reliability, and compliance in a regulated healthcare environment.

What’s In It for You?

• Mission-Driven Impact - Support cutting-edge medical education and research by enabling secure, large-scale data transfers
• Hands-On Technical Ownership - Lead deployment, configuration, and optimization of Globus MFT in a production GCP environment
• Highly Collaborative Environment - Partner with data architects, developers, analysts, and research stakeholders
• Exposure to Enterprise-Grade Security - Work within HIPAA, NIST, and Zero-Trust frameworks
• Skill Expansion - Deepen expertise across cloud infrastructure, data pipelines, and research data workflows

Your Role & Responsibilities

• Deploy, configure, and operationalize Globus Connect Server (GCS v5) within a GCP-hosted Data DMZ
• Configure storage gateways, collections, endpoints, and secure data transfer workflows
• Support onboarding of research users and provide Tier 1/2 operational support
• Manage and optimize large-scale, high-throughput data transfers (GridFTP)
• Monitor platform health, troubleshoot performance issues, and ensure reliability
• Build and maintain processes supporting data transformation, metadata, and workload management
• Perform complex data analysis to investigate data issues and explain outcomes to stakeholders
• Conduct data quality reviews and contribute to data governance initiatives
• Ensure compliance with HIPAA, NIST, and Zero-Trust security standards
• Create documentation and provide knowledge transfer to enable long-term platform ownership
• Collaborate closely with enterprise interfaces, data, analytics, and security teams

Do you have experience in Zero Trust security?, Do you have a Associate’s degree?, * 3+ years of hands-on experience with Globus MFT (GCS v5, endpoints, collections)

• Strong experience with Google Cloud Platform (Compute Engine, Cloud Storage, IAM, networking)
• Advanced SQL skills for querying, troubleshooting, and data mining across complex datasets
• Solid understanding of data modeling concepts and ETL processes
• Linux system administration experience with Bash scripting
• Experience supporting large, disconnected datasets and complex data pipelines
• Strong analytical and problem-solving skills, including root cause analysis
• Ability to manage multiple concurrent priorities in a fast-paced environment
• Excellent communication skills with both technical teams and end users

Bonus Points If You Have

• Experience working in healthcare or other regulated environments
• Background in Managed File Transfer (MFT) or research data platforms
• Familiarity with Terraform / Infrastructure as Code or Azure DevOps
• Exposure to HPC or research data workflows
• Experience with identity governance tools (e.g., SailPoint)
• Monitoring and observability tooling experience

Education & Certifications You Need

• Bachelor’s degree in Computer Science, Engineering, or a related field OR

• Associate’s degree with two (2) years of relevant professional experience
• No required certifications; relevant cloud or data certifications are a plus

2.92.9 out of 5 stars Rochester, MN 55904 Remote $54 - $64 an hour - Contract, Pulled from the full job description

• Health insurance
• 401(k) matching
• Paid time off
• Vision insurance
• Health savings account
• Dental insurance
• Disability insurance, At Trissential, you’ll join our client’s team on meaningful, high-visibility initiatives while enjoying flexibility and strong benefits.
• Competitive Compensation -$54-$64 per hour. Final compensation is determined based on skill alignment, years of experience, and fair, market-based rates by geography.
• Comprehensive Benefits for you and your dependents - Medical, dental, vision, free tele-health, HSA with company contribution, life and disability insurance, and 401k with matching
• Paid Time Off - Offers paid time away from work
• Career-Enhancing Work - Gain experience supporting enterprise-scale, cloud-based research platforms
• Collaborative Culture - Work alongside experts who value knowledge sharing and continuous improvement