Design advanced graph-oriented data models (entities, nodes, edges, weights).
Translate domain problems into navigable knowledge structures.
Define query patterns for exploration, inference, and traceability.
Evaluate and select appropriate technologies for highly connected data.
Collaborate with ML/NLP teams to integrate extracted entities and relationships.
Ensure consistency, evolution, and performance in complex data models.
Document semantic schemas and modeling decisions.

Experience in data engineering or backend development.
Strong understanding of data modeling beyond classic relational models.
Familiarity with graph-style structures (not necessarily tied to a specific database).
Ability to reason about relationships, hierarchies, and networks.
Abstract, domain-oriented thinking.

100% remote work with schedule aligned to CST.
Unlimited PTO: We trust you to manage your time effectively.
Annual development budget: Access to courses, certifications, and conferences.
Equipment budget: Set up your ideal remote workspace.
Semi-annual performance bonuses: We recognize and reward your impact with financial incentives.
Health benefit: Access to private medical coverage or subsidies for health insurance.
Growth opportunities: Career planning and mentorship with AI and technology experts.
Dynamic, flexible startup environment: Autonomy to make decisions and propose ideas, focused on results rather than hours worked.
Work–life balance: A culture that prioritizes flexibility and wellbeing, allowing you to manage your time without sacrificing your personal life.

Graph Database Engineer

Key skills