Key Skills Python & Machine Learning Real-Time / Low-Latency Inference REST APIs & Microservices Google Cloud Platform & Databricks Neo4j / Graph Databases Feature Stores & Feature Engineering Data ...
Key Skills Python & Machine Learning Real-Time / Low-Latency Inference REST APIs & Microservices Google Cloud Platform & Databricks Neo4j / Graph Databases Feature Stores & Feature Engineering Data ...
Entry Level Neo4J Developer information
See salary details
$62.5K is the 25th percentile. Wages below this are outliers.
$49.5K - $63.2K
26% of jobs
$63.2K - $77K
18% of jobs
The median wage is $80.7K / yr.
$77K - $90.7K
21% of jobs
$98.6K is the 75th percentile. Wages above this are outliers.
$90.7K - $104.4K
17% of jobs
$104.4K - $118.1K
5% of jobs
$118.1K - $131.9K
3% of jobs
$131.9K - $145.6K
3% of jobs
$145.6K - $159.3K
3% of jobs
$159.3K - $173K
2% of jobs
$173K - $186.8K
1% of jobs
$186.8K - $200.5K
0% of jobs
$49.5K
$98.8K
$200.5K
How much do entry level neo4j developer jobs pay per year?
As of Aug 18, 2026, the average yearly pay for entry level neo4j developer in the United States is $98,791.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $102,500.00 per year, depending on experience, location, and employer.
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Cities with the most Entry Level Neo4J Developer job openings:
What are the most commonly searched types of Neo4J Developer jobs?
The most popular types of Neo4J Developer jobs are:
What job categories do people searching Entry Level Neo4J Developer jobs look for?
The top searched job categories for Entry Level Neo4J Developer jobs are:
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This job post has expired 1 day ago. Applications are no longer accepted.
Job description
Hiring: Machine Learning Engineer Fraud Detection
Location: Dallas, TX 100% Onsite
Contract: 1 Year
Experience: 8 12 Years
We are looking for a strong Machine Learning Engineer with experience building and supporting production-grade fraud detection solutions.
Key SkillsPython & Machine Learning
Real-Time / Low-Latency Inference
REST APIs & Microservices
Google Cloud Platform & Databricks
Neo4j / Graph Databases
Feature Stores & Feature Engineering
Data Pipelines & Data Engineering
MLOps, Monitoring & Production Support
Agentic AI Architecture Good to Have
Build and deploy production fraud detection services
Develop low-latency ML inference solutions
Design ML feature engineering pipelines
Integrate ML models with APIs and microservices
Support graph-based fraud detection using Neo4j
Improve performance, scalability and reliability
Work with MLOps teams on releases and production support
Interested candidates can share their updated resumes at:
#Hiring #MachineLearning #MachineLearningEngineer #MLEngineer #FraudDetection #Python #Google Cloud Platform #Databricks #Neo4j #MLOps #Microservices #DallasJobs #TexasJobs #ContractJobs #TechJobs
About Compugra Systems
Sourced by ZipRecruiter
Company size
11 - 50 Employees
Headquarters location
South Plainfield, NJ, US
Year founded
2002