100% Remote Graph Theory Developer

• 2+ years of experience developing real-world solutions in Graph Theory.
• 3+ years of professional experience coding and scripting with Python or C++ (Python preferred)
• 2+ years of experience with graph libraries and frameworks such as GraphX, NetworkX  OR Boost Graph Library
• Strong understanding of 1 or more of the following data structures and algorithms (Dijkstra's Algorithm, Depth-First Search (DFS), or Breadth-First Search (BFS))

Desired:

• Familiarity with Neo4j, TigerGraph, or Amazon Neptune for graph database modeling and querying.

Responsibilities:

• Design and implement graph-based algorithms to solve complex network, data, and system optimization challenges.
• Use libraries such as NetworkX, GraphX, or igraph to build scalable graph solutions.
• Collaborate with data engineers and analysts to integrate graph analytics into operational systems.
• Design and manage data pipelines that extract, transform, and load (ETL) graph data from utility infrastructure systems.
• Optimize graph algorithms to handle large-scale datasets with high performance.
• Support predictive maintenance initiatives by modeling asset lifecycles and identifying critical failure points through graph analytics.