Senior Data Engineer / Knowledge Graph Engineer

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

Availability expectations

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

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

We offer

Professional and career development opportunities

Support in obtaining professional certifications

Mentoring Program 

Medical insurance

Participation in corporate events

Flexible work formats (hybrid/remote)

Paid leave and sick days