Skip to main content
Tallo logoTallo logo
Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Graph Database Developer (W2 Position)

Job

ASCII Group LLC

Sunnyvale, CA (In Person)

$135,200 Salary, Full-Time

Posted 3 days ago (Updated 16 hours ago) • Actively hiring

Expires 7/6/2026

Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
71
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

Please find the requirements below and let me know if you are interested.
Client :
Infosys Title :
Graph Database Developer (TigerGraph & Neo4j)
Location :
Sunnyvale, CA (Onsite)
Rate :
$65/hr on W2
Employment Type :
W2 Position We are seeking a Graph Database Developer with strong hands-on experience in TigerGraph and working knowledge of Neo4j. The ideal candidate will design and develop scalable graph data models, implement complex graph queries and analytics, and optimize graph database performance for large-scale datasets.
Key Responsibilities:
  • Design, develop, and maintain graph schemas and data models in TigerGraph.
  • Develop GSQL queries, graph traversals, pattern matching, and graph analytics solutions.
  • Work with Neo4j for graph-based use cases, migrations, and comparative evaluations.
  • Optimize graph queries and database performance.
  • Integrate graph databases with applications, APIs, and data pipelines.
  • Support data transformation and automation using Python, PySpark, Scala, and SQL.
Required Skills:
  • Strong experience with TigerGraph (schema design, GSQL, graph analytics).
  • Working knowledge of Neo4j.
  • Experience with property graphs and knowledge graphs.
  • Familiarity with performance tuning and optimization techniques.
  • Knowledge of Python and SQL; PySpark/Scala is a plus.
  • Experience handling large and complex datasets.