01
Enterprise-grade problems
Multi-system environments, governance constraints, complex stakeholders and operational consequences.
Careers
Build your career while transforming operations.
Work on enterprise problems where process, technology, data, analytics, automation and AI have to function together in the real world.
NoèmeX stays close to delivery: meaningful ownership, direct access to experienced leaders, fewer layers between a technical decision and its business consequence and work that has to hold up in production.
All currently advertised opportunities are remote independent-contractor engagements with Global Data and BI Inc., operating as NoèmeX. Any region or time zone shown indicates the expected collaboration schedule, not an office location.
What to expect
Engineering culture, serious work.
02
End-to-end ownership
Contribute from discovery and architecture through build, rollout, adoption and production support.
03
Technical range
Data engineering, analytics, cloud, software, AI and automation are designed as connected systems.
04
Direct access to leadership
Work close to senior consultants, technical leaders and decision-makers rather than through unnecessary layers.
05
Learning that compounds
Architecture, specification, operating-model and delivery habits matter as much as familiarity with a tool.
06
Flexible where it matters
Many roles are remote or hybrid, with working arrangements shaped by the role and client context.
Open roles
Current opportunities.
Explore the roles currently published across engineering, business technology, customer experience, finance and sales.
Engineering
AI Solutions Specialist
Remote (EST preferred)
Independent contractor, full-time or project-based
→
AWS Big Data Engineer
Remote (EST)
Contract (extendable)
→
Azure Data Engineer
Remote (EST)
Contract (extendable)
→
BI Developer
Remote, Eastern Time overlap preferred
Independent contractor, full-time or project-based
→
Cloud Infrastructure Engineer
Remote (EST)
Contract (extendable)
→
Design Engineer (Contract)
Remote (EST preferred)
Contract (3–6 months)
→
Engineering Manager, Data Platform and AI Products
Remote (EST preferred)
Full-time Contract
→
Software Engineer, AI Product
Remote (EST preferred)
Full-time Contract
→
Software Engineer, Data Platform Product
Remote (EST preferred)
Full-time Contract
→
Software Engineer, Developer Experience
Remote (EST preferred)
Full-time Contract
→
Software Engineer, Enterprise Data Platform
Remote (EST preferred)
Full-time Contract
→
Software Engineer, Fullstack (Early Career)
Remote (EST preferred)
Full-time Contract
→
Software Engineer, Infrastructure
Remote (EST preferred)
Full-time Contract
→
Software Engineer, Monetization
Remote (EST preferred)
Full-time Contract
→
Solutions Engineer
Remote (flexible)
Full-time Contract
→
Technical Architect - Professional Services
Remote (EST preferred)
Independent contractor, full-time or project-based
→
Business Technology
Customer Experience
Process
How we hire.
The exact stages vary by role. The specific assessment requirements are listed on each job posting.
01
Apply
Share your experience, professional links and structured resume information.
02
Conversation
We clarify fit, expectations, availability and the kind of problems you want to work on.
03
Assessment
Depending on the role, this may be a practical exercise, technical discussion or structured panel.
04
Decision
Finalists receive a clear outcome and next steps after the last stage.
Careers
Interested in work that connects engineering to operating reality?
Review the current opportunities and apply to the role that best matches your experience and the problems you want to work on.