1 to 25 of 54 Neo4j Jobs

e.g., Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g., TensorFlow, MXNet, scikit-learn) Software engineering practices (coding standards, unit testing, version control, code review) Hadoop distributions (Cloudera, Hortonworks), NoSQL databases (Neo4j, Elastic), streaming technologies (Spark Streaming) Data manipulation and wrangling techniques Development and deployment technologies (virtualisation, CI tools like Jenkins, configuration management with Ansible, containerisation with Docker, Kubernetes) Data visualization More ❯

plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management More ❯

ex: S3, RDS, EFS) Excellent communication skills (written and verbal) Candidate must have a Bachelor's with 2-4 years of prior relevant experience. Optional Requirements: Familiar with using Neo4J B4CORP Company Information B4Corp is a small defense contracting company that focuses on providing an optimum environment for mission-focused, highly skilled consultants to support the United States of More ❯

Google Cloud, or Microsoft Azure. • Experience applying various machine learning approaches (e.g., random forest, neural networks, support vector machines). • Experience working with databases (e.g., PostgreSQL, Oracle, MySQL, MongoDB, Neo4J). • Experience using version control (e.g., Git, Mercurial, SVN) to support collaborative development. • Experience utilizing notebooks (e.g., Jupyter, R Markdown, Zeppelin). • Experience developing interactive data visualizations using open More ❯

Node.js • SQL Experience programming with Python Experience with general Linux computing and advanced bash scripting Experience constructing complex multi-data source queries with database technologies such as PostgreSQL, MySQL, Neo4J or RDS Experience processing data sources containing structured or unstructured data Experience developing data pipelines with NiFi to brin data into a central environment Experience delivering results to stakeholders More ❯

microservices architectures. Proficiency in modern JavaScript/TypeScript and at least one major frontend framework (React, Vue.js, or Angular). Deep understanding of database design, optimisation, and management (PostgreSQL, Neo4j, Redis). Experience with cloud platforms (AWS, GCP, Azure) and infrastructure as code (Terraform). Proficiency with containerisation and orchestration technologies (Docker, Kubernetes). Strong knowledge of distributed systems More ❯

pipelines. Hands-on experience with big data processing frameworks such as Apache Spark, Databricks, or Snowflake, with a focus on scalability and performance optimization Familiarity with graph databases (e.g., Neo4j, Memgraph) or search platforms (e.g., Elasticsearch, OpenSearch) to support complex data relationships and querying needs Solid understanding of cloud infrastructure, particularly AWS, with practical experience using Docker, Kubernetes, and More ❯

we've worked on recently that might give you a better sense of the kind of work you could be leading on: Building a data analytics tool using a Neo4J graph database. A DevOps platform to support 3000 users. Processing digital forensic data to enable search and insight generation. A search and reporting system backed by an ElasticSearch cluster. More ❯

You'll report into a collaborative data team that values precision, integrity, and innovation. What You'll Bring Experience with SQL (e.g. MS SQL, Oracle) and NoSQL (e.g. MongoDB, Neo4J) Strong skills in Python, ETL, API integration, and data processing Familiarity with Hadoop, Docker, and containerisation technologies Knowledge of Generative AI, Natural Language Processing, or OCR is a plus More ❯

You'll report into a collaborative data team that values precision, integrity, and innovation. What You'll Bring Experience with SQL (e.g. MS SQL, Oracle) and NoSQL (e.g. MongoDB, Neo4J) Strong skills in Python, ETL, API integration, and data processing Familiarity with Hadoop, Docker, and containerisation technologies Knowledge of Generative AI, Natural Language Processing, or OCR is a plus More ❯

tools) Experience with containerization and use of Kubernetes. Familiarity with Object Relational Modeling persistence frameworks (e.g. SQLAlchemy), and with PostgreSQL. Familiarity with the use of ElasticSearch/OpenSearch, and Neo4J as persistent stores. Well versed in modern software architectures like micro-services as well as front-end frameworks. Strong communications skills: you will be required to proactively engage fellow More ❯

roadmap and deliver innovative solutions Stay current with emerging technologies in AI and data engineering Technical Skills Required: SQL technologies (e.g. MS SQL, Oracle) NoSQL technologies (e.g. MongoDB, InfluxDB, Neo4J) Data exchange and processing tools (ETL, ESB, API) Programming experience (Python or similar) Big data tools (e.g. Hadoop stack) Knowledge of NLP, OCR, and Generative AI is advantageous Experience More ❯

contributing to the technology roadmap Delivering innovative solutions in NLP, OCR, and Generative AI applications Experience required: Strong SQL skills (e.g. MS SQL, Oracle) and noSQL skills (e.g. MongoDB, Neo4J) Proficiency in data exchange and processing tools (ETL, ESB, APIs) Development skills in Python and familiarity with Big Data technologies (e.g. Hadoop) Knowledge of NLP and OCR; Generative AI More ❯

we've worked on recently that might give you a better sense of the kind of work you could be leading on: Building a data analytics tool using a Neo4J graph database. A DevOps platform to support 3000 users. Processing digital forensic data to enable search and insight generation. A search and reporting system backed by an ElasticSearch cluster. More ❯

Experience with scientific, semi-structured, or biodiversity data. Familiarity with semantic web standards (e.g. Darwin Core, JSON-LD, Linked Data). Knowledge of NoSQL/graph databases (e.g. MongoDB, Neo4j, Neptune) a plus. Hands-on with cloud-native architectures, especially AWS. Understanding of data versioning, provenance, and governance. Robert Walters Operations Limited is an employment business and employment agency More ❯

and maintain RESTful APIs and secure service integrations. Collaborate across disciplines and contribute to documentation, test strategies, and team processes. Work with SQL and NoSQL databases (PostgreSQL, MongoDB, Elasticsearch, Neo4j). Deploy and scale apps on AWS (S3, EC2, IAM, etc.). Required Skills/Experience: 8+ years of software development with strong expertise in Python. Experience building and More ❯

Expertise in TypeScript and Node.js ; knowledge of Python is a plus. Experience working with SQL and/or NoSQL technologies like MySQL , MongoDB , and DynamoDB etc., graph databases like Neo4j is aplus. Solid understanding of cloud ecosystems : Azure , AWS , or GCP . Hands-on experience with Docker, Kubernetes , or othercontainerization technologies. Deep understanding of object-oriented programming principles andarchitectural More ❯

to create solutions for large business problems. You will collaborate closely with experienced data scientists focusing on advanced challenges such as entity resolution at scale and graph modelling with Neo4J to produce graphical representations of potential fraud rings. Our Data Scientists research and apply advanced techniques in Machine Learning, Natural Language Processing, Deep Learning, and Computer Vision to understand More ❯

. Knowledge in the industrial and/or defence sector. The successful candidate must have: SQL technologies skills (e.g. MS SQL, Oracle). noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J). Data exchange and processing skills (e.g. ETL, ESB, API). Development skills (e.g. Python). Big data technologies knowledge (e.g. Hadoop stack). This position offers a lucrative More ❯

. Knowledge in the industrial and/or defence sector. The successful candidate must have: SQL technologies skills (e.g. MS SQL, Oracle). noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J). Data exchange and processing skills (e.g. ETL, ESB, API). Development skills (e.g. Python). Big data technologies knowledge (e.g. Hadoop stack). This position offers a lucrative More ❯

. Knowledge in the industrial and/or defence sector. The successful candidate must have: SQL technologies skills (e.g. MS SQL, Oracle). noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J). Data exchange and processing skills (e.g. ETL, ESB, API). Development skills (e.g. Python). Big data technologies knowledge (e.g. Hadoop stack). This position offers a lucrative More ❯

APIs. • Demonstrated experience with tools, languages, and frameworks: Python, PySpark, JavaScript, Vue, Nuxt.js, and Viz.js • Demonstrated experience with AWS services: S3 and EC2. • Demonstrated experience with databases: relational, graph (Neo4J/Graph-Tool), and NoSQL/document (MongoDB). • Demonstrated experience deploying software using: Linux, Docker, and Kubernetes Why Go Epic Solutions? • Mission-Driven Work: Contribute to national security More ❯

of the following technologies but who is also open minded about learning new languages and technologies. Java, Python, JavaScript, TypeScript Angular, React, Vue Docker, Kubernetes AWS, Azure MERN, Elasticsearch, Neo4J Robot, Cypress, Cucumber Framework creation Exploratory testing A competitive salary with an exciting array of projects to work on. Company Benefits that we offer from your first day are More ❯

Microservices and containerization tools(Docker, Kubernetes) Experience with data ingestion tools and data streaming with Kafka Strong understanding of distributed computing concepts NoSQL DB Experience preferred and background with Neo4J is a big plus Benefits Competitive Compensation Package 4 weeks PTO Flex work hours with remote options Yearly bonuses and perks Education/certification reimbursement Many More More ❯

In-depth knowledge of tokenisation strategies (e.g. BPE, SentencePiece, byte tokenisation), embedding models (e.g. OpenAI Ada, text-embedding-3-large), and their performance implications. Familiarity with knowledge graphs (e.g. Neo4j, LangDB, in-memory graphs) and graph neural networks for reasoning. Strong grounding in probabilistic models , causal inference , and AI reasoning approaches. Hands-on experience with cloud platforms (AWS, GCP More ❯