Job Closed
This listing is no longer active.
Soluciones de Inteligencia Artificial a la medida
Graph Database Engineer
Location
United States
Posted
126 days ago
Salary
0
Seniority
Senior
Job Description
Graph Database Engineer
Creai
• 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.
Job Requirements
- 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.
Benefits
- 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.
Related Guides
Related Job Pages
More Backend Engineer Jobs
• You will play a key role in designing and deploying the data infrastructure supporting Kolomolo’s modernization stack • Your work will focus on building Terraform-based AWS deployments, ensuring smooth data ingestion, transformation, enrichment, and validation • Designing and implementing Infrastructure as Code (IaC) using Terraform for AWS services • Building data processing pipelines and automating workflows for ingestion, transformation, and validation • Handling data enrichment and data integrity checks across multiple formats (e.g., Parquet, JSON, CSV) • Integrating data intake from relational databases (SQL, PostgreSQL, etc.) and graph-based data sources (e.g., Neo4j, Amazon Neptune) • Developing and maintaining Python-based data orchestration tools and scripts • Working with containerized environments (Docker, Kubernetes) to enable scalable deployments • Supporting continuous improvement and optimization of cloud infrastructure performance and cost
• Design, develop, and maintain Dynamics 365 F&O solutions using X++, data entities, and system integrations. • Collaborate with functional consultants and business stakeholders to translate requirements into technical specifications. • Customize and extend Finance and Supply Chain modules to meet business needs. • Integrate D365 F&O with external systems using APIs, Azure Services, and other integration tools. • Conduct code reviews, troubleshoot issues, and ensure high-quality technical deliverables. • Contribute to architecture discussions and technical documentation.
• You will play a key role in designing and deploying the data infrastructure supporting Kolomolo’s modernization stack. • Your work will focus on building Terraform-based AWS deployments, ensuring smooth data ingestion, transformation, enrichment, and validation. • Responsibilities include: Designing and implementing Infrastructure as Code (IaC) using Terraform for AWS services. • Building data processing pipelines and automating workflows for ingestion, transformation, and validation. • Handling data enrichment and data integrity checks across multiple formats (e.g., Parquet, JSON, CSV). • Integrating data intake from relational databases (SQL, PostgreSQL, etc.) and graph-based data sources (e.g., Neo4j, Amazon Neptune). • Developing and maintaining Python-based data orchestration tools and scripts. • Working with containerized environments (Docker, Kubernetes) to enable scalable deployments. • Supporting continuous improvement and optimization of cloud infrastructure performance and cost.
• Analyze existing RPG programs and AS/400 (IBM i) application logic to understand business processes and technical dependencies. • Design and implement equivalent solutions using Node.js, ensuring parity in functionality and performance. • Collaborate with architects to define and present migration strategies, coding standards, and best practices. • Support the refactoring of RPG code into modular, scalable, and API-driven architectures. • Assist in developing tools, scripts, or automation to streamline migration and testing. • Provide documentation, technical guidance, and knowledge transfer to internal teams. • Troubleshoot and resolve technical challenges during migration and post-migration phases. • Work independently and take ownership of assigned deliverables throughout the migration lifecycle.

