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Neo4J Python Jobs (NOW HIRING)

AI Developer

Mettawa, IL · On-site

$80/hr

... in Python and related AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, LlamaIndex). * Graph Database Expertise: Strong hands-on experience with graph databases, especially Neo4j , including ...

Required : • Experience: 10+ Years • LLM and Generative AI • Document extraction/chat • Python, NLP • Cloud-native environment such as AWS • AWS Neptune or Neo4J graph database • Strong ...

... Python Shell scripting Microservices architecture and deployment patterns Kubernetes and Helm ... Neo4j Required Qualifications 8+ years of professional software engineering experience Bachelor ...

AI/ML Quality Engineer

Atlanta, GA · On-site

$69K - $89K/yr

Familiarity with Graph databases (Neo4j) or agent-based architectures. * Architect and code in Python for scalable, reusable, and high-performing systems. * Strong grounding in software quality ...

... Python • Experience working in a cloud-native environment such as AWS • Should have hands on experience with AWS Neptune or Neo4J graph database • Experience in building and maintaining open ...

Data Scientist

Columbia, MD · On-site

$225K - $255K/yr

Design and optimize graph queries, with an expectation to learn and utilize Cypher for Neo4j. * Build and maintain data parsers in Python, ensuring reliable data ingestion. * Validate and analyze ...

Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs) using Python-first frameworks. * Integrate agents with Graph DBs (e.g., Neo4j, JanusGraph, Neptune) and Vector ...

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Neo4J Python information

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$58

$86

How much do neo4j python jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for neo4j python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is a Neo4j Python developer?

Neo4j Python developers are professionals who specialize in working with Neo4j, a popular graph database, using the Python programming language. They design, implement, and optimize graph-based solutions, leveraging Python libraries such as neo4j-driver and Py2neo to interact with the database. These developers often build applications that require complex data relationships, such as recommendation engines, fraud detection systems, or social networks. Their work involves writing Cypher queries, integrating Neo4j with Python frameworks, and ensuring efficient data storage and retrieval.

What are the key skills and qualifications needed to thrive as a Neo4j Python developer?

To thrive as a Neo4j Python Developer, you need a solid background in Python programming, knowledge of graph databases, and experience with data modeling. Familiarity with the Neo4j database, Cypher query language, and relevant Python libraries such as py2neo or neo4j-driver is typically required. Strong problem-solving skills, attention to detail, and effective communication set outstanding candidates apart. These skills are crucial for building efficient graph-based applications, ensuring data integrity, and collaborating with cross-functional teams.

What are some common challenges faced when integrating Neo4j with Python applications?

Integrating Neo4j with Python applications often involves challenges such as efficiently handling large graph datasets, ensuring optimal query performance, and managing connections between the Python backend and the Neo4j database. Developers may also need to familiarize themselves with Cypher (Neo4j’s query language) and the nuances of the official Neo4j Python driver. Collaborating with data engineers and backend teams is common to design scalable data models and optimize data flows, making strong communication and problem-solving skills essential for success in this role.

What is the difference between Neo4J Python vs Neo4J Java?

AspectNeo4J PythonNeo4J Java
Primary LanguagePythonJava
Use CasesScripting, data analysis, quick prototypingEnterprise applications, large-scale systems
Work EnvironmentData science, startups, researchLarge organizations, backend development
Community & ResourcesGrowing, extensive Python librariesEstablished, extensive Java ecosystem

Neo4J Python is ideal for quick development, data analysis, and scripting tasks, leveraging Python's simplicity. Neo4J Java suits large-scale, enterprise-level applications requiring robust performance and integration with Java-based systems. Your choice depends on project scope and preferred programming language.

What other helpful pages are available for Neo4J Python?

Other pages related to Neo4J Python:

Infographic showing various Neo4J Python job openings in the United States as of September 2026, with employment types broken down into 42% Full Time, and 58% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Full Stack Python Developer with Security Clearance

Herndon, VA • On-site

Contractor

Re-posted 15 days ago


Job description

What You’ll Do:
Government contractor is seeking a Full Stack Python Developer to build and scale user-facing and backend applications that power AI/ML capabilities for the DoD Search Portfolio.
You will develop secure, cloud-native web services and UI experiences that integrate with LLM/RAG and semantic search pipelines. This role partners closely with ML engineers and data teams to productionize models through robust APIs, workflows, and operational tooling. You will help deliver mission-ready solutions that handle large-scale datasets with strong performance, reliability, and traceability.
The ideal candidate thrives in fast-paced environments and enjoys building end-to-end systems that make AI usable for real users. Responsibilities will include but are not limited to:
Support CI/CD and DevOps practices (containerization, deployment automation, monitoring/alerting) to ensure stable releases and operational readiness.
Apply best practices for security, logging, auditing, and compliance aligned with federal/DoD standards across services and environments.
Design and develop Python backend services and REST APIs (e.g., Flask/FastAPI) to expose AI/ML and search capabilities to applications and mission systems.
Build full stack features (UI + API) that support search workflows, semantic retrieval, and results visualization for enterprise users.
Integrate backend services with Databricks/Spark pipelines and ML workflows to enable scalable inference, data processing, and batch/stream execution.
Implement and maintain integrations with Elasticsearch (search/indexing) and Neo4j (graph/relationship-driven experiences) to enhance relevance and discovery.
Collaborate with ML Engineers to productionize LLM/RAG-based features, including prompt/inference orchestration, embeddings services, and retrieval workflows.
Create clear technical documentation and communicate design decisions, trade-offs, and implementation approaches to both technical and non-technical stakeholders.
What You’ll Need:
Bachelor’s degree (or equivalent experience) with 5+ years in software engineering focused on Python and web application development.
Must have: Strong hands-on experience building Python APIs/services (Flask/FastAPI preferred) and integrating with databases, search platforms, and external systems.
Experience developing full stack applications using modern front-end frameworks (React/Angular/Vue) plus strong API design skills.
Familiarity with AI/ML concepts and integrations (LLMs, embeddings, semantic search, RAG workflows) and working closely with data/ML teams.
Must have: Working experience with cloud-native delivery (Docker/Kubernetes), CI/CD, Git-based workflows, and performance/reliability best practices; Databricks/Spark experience required.