Senior Data Engineer / Knowledge Graph Engineer 8555

Join Akvelon — build products used by millions!

Akvelon is an IT company with 20+ years of experience and 1,200+ engineers across 15+ locations worldwide.
We work with both well-known global tech companies, including Microsoft, Facebook, Airbnb, Dropbox, and Pinterest, and with growing startups.
Our teams are involved in different types of engineering projects, from cloud solutions and AI/ML systems to big data, web, and mobile applications.
Since we are remote-first, our engineers work in distributed teams with flexible hours. We value ownership, clear communication, and the ability to take responsibility for your part of the work.

About the role

We are looking for a Senior Data Engineer / Knowledge Graph Engineer with strong hands-on experience in Neo4j and Graph-RAG to design and develop knowledge graph and advanced data capabilities for a data-intensive platform.

The role combines Knowledge Graph engineering, Graph-RAG, data engineering, and AWS-based data architecture. You will work with structured and unstructured data, build scalable ingestion and transformation pipelines, and develop graph-based solutions that enable advanced search, retrieval, and AI-driven use cases.

Requirements

• Strong hands-on experience with Neo4j, including graph data modeling and query optimization
• Practical experience designing and implementing Graph-RAG solutions
• Strong Python development skills
• Experience with stream processing and Kafka
• Hands-on experience with AWS data technologies, including AWS Glue, Data Catalog, Data Lake/Lake Formation, and related services
• Strong understanding of data pipelines, data modeling, and data architecture
• Experience processing both structured and unstructured data

Nice to have

• Experience with PostgreSQL
• Strong background building data pipelines on AWS
• Experience with LangChain, CrewAI, or similar agentic frameworks
• Experience automating data pipelines using AI agents
• Knowledge of common data models, metadata-driven processing, and Data Fabric principles
• Experience integrating Knowledge Graphs with RAG/LLM solutions

Responsibilities

• Design, build, and optimize Neo4j-based Knowledge Graphs
• Develop Graph-RAG solutions for retrieval and AI-driven use cases
• Design graph data models, relationships, and common data models
• Build and automate data ingestion, transformation, and processing pipelines
• Process structured and unstructured datasets, including profiling, crawling, validation, and quality checks
• Develop scalable data flows using AWS data services
• Work with streaming data and Kafka-based processing
• Support metadata-driven architecture, data catalogs, and Data Fabric principles
• Contribute to automated and agent-based data pipelines

Availability expectations

• Possible overlap with US Pacific Time, including availability until 11:00 AM PT