Data Engineer / SPARQL Developer

Job Title: Graph Data Engineer / SPARQL Developer

Location: Denver, CO (Remote)

Duration: 6 Months (Extendable)

Positions Available: 1

Role Summary

We are seeking a skilled Graph Data Engineer / SPARQL Developer to design, develop, and optimize semantic graph-based solutions for telecom network data. The role focuses on leveraging SPARQL, RDF, and OWL to model complex network relationships, integrate with OSS/BSS systems, and enable real-time data processing. The ideal candidate will have strong expertise in graph databases, semantic web technologies, and telecom service fulfillment domains.

Required Experience

4-6 years of overall experience

Strong background in SQL and data engineering

Hands-on experience with graph databases and semantic web technologies

Must-Have Technical Skills

SPARQL - Advanced query writing and optimization

RDF & OWL - Semantic web standards and ontology modeling

Graph Databases - Experience with Stardog, Neo4j, or similar

SQL - Strong proficiency in relational database queries

Python - Data processing, scripting, and automation

JavaScript - Data visualization and front-end integration

EXFO Ontology (PRONTO) - Familiarity with telecom-specific ontologies

Domain Knowledge (Telecom)

Telecom Network Architecture - Understanding of network layers, topologies, and protocols

Service Fulfillment - Provisioning and activation workflows

OSS/BSS Integration - Experience with Operations Support Systems and Business Support Systems

CMDB - Configuration Management Database concepts and implementation

Network Inventory - Management of physical and logical network assets

Event-Driven Architectures - Experience with Kafka and real-time data streaming

REST APIs - Design, development, and integration of RESTful services

Key Responsibilities

Design and develop semantic graph models using RDF, OWL, and SPARQL

Build and optimize graph database solutions using Stardog, Neo4j, or similar platforms

Integrate graph-based solutions with OSS/BSS systems and network inventory platforms

Develop data pipelines for real-time and event-driven processing using Kafka

Create data visualizations and dashboards using JavaScript and Python

Collaborate with telecom domain experts to model network relationships and service fulfillment workflows

Optimize SPARQL queries for performance and scalability

Document data models, ontologies, and integration processes

Support EXFO Ontology (PRONTO) implementation and customization

Preferred Qualifications

Experience with telecom service activation and provisioning systems

Knowledge of network inventory and CMDB best practices

Familiarity with additional graph query languages or triplestores

Exposure to cloud-based data platforms and DevOps practices

Education

Bachelor's Degree in Computer Science, Information Technology, or a related field (or equivalent experience)