1 to 25 of 56 Neo4j Jobs

Federal Consulting Engineer (TS/SCI and FS Poly required) Role Overview: Working with our customer's engineering teams, you'll lead and contribute to all phases of the Neo4j implementation within their projects. Act as the Technical Subject Matter expert for short to long-term consulting engagements where you'll write code, provide expert advice and guidance, train … modeling, coding and testing (eg, data ingestion), and data visualizations. Job Responsibilities: Working with our customer's engineering teams, you'll lead and contribute to all phases of the Neo4j implementation within their projects. Act as the Technical Subject Matter expert for short to long-term consulting engagements where you'll write code, provide expert advice and guidance, train … help prepare deployments for production rollout. Develop solution architectures that address the technical requirements of our customer's projects Design and build prototype solutions that demonstrate required functionality with Neo4j Help prepare solution proposals for our customer's engineering and management teams that help address the overall project goals. Job Requirements: Location: MD/VA/D.C. Active TS 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 ❯

learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in Chantilly, VA, McLean, VA and in various field offices throughout Northern VA (we cannot support More ❯

learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in Chantilly, VA, McLean, VA and in various field offices throughout Northern VA (we cannot support More ❯

of experience with programming languages including Python and C++ 2+ years of experience developing and maintaining scalable data pipelines and storage solutions Experience with modern databases, including PostgreSQL, MongoDB, Neo4j, or DuckDB Experience designing ETL/ELT workflows for structured and unstructured data Experience building containerized microservices using Docker or Podman and deploying on Kubernetes Experience working in cross More ❯

of experience with programming languages including Python and C++ 2+ years of experience developing and maintaining scalable data pipelines and storage solutions Experience with modern databases, including PostgreSQL, MongoDB, Neo4j, or DuckDB Experience designing ETL/ELT workflows for structured and unstructured data Experience building containerized microservices using Docker or Podman and deploying on Kubernetes Experience working in cross More ❯

a compiled language such as Go or C++ Experience leading development of scalable, secure data pipelines and backend systems Experience with multiple data storage technologies, including PostgreSQL, MongoDB, and Neo4j databases Experience with containerized environments, including Docker and Podman, and orchestration using Kubernetes Experience working with cloud infrastructure, including AWS GovCloud, and with integrating APIs and services into modern More ❯

distributed computing clusters, including Apache Spark, Nifi, Dask, Airflow, or Luigi Experience with SQL and NoSQL database technologies such as Elasticsearch, Solr, HBase, Accumulo, Cassandra, Weaviate, ChromaDB, Pinecone, DuckDB, Neo4j, AWS DynamoDB, Redshift, Aurora, Oracle, PostgreSQL, MSSQL, MySQL, or MongoDB AWS or Google Certification such as Data Analytics, Machine Learning Engineer, or Solutions Architect Certifications ML Engineering, Cloud Architecture More ❯

QUALIFICATIONS: Solid understanding of cloud infrastructure, particularly AWS, with practical experience using Docker, Kubernetes, and implementing CI/CD pipelines for data workflows. Familiarity with graph databases such as Neo4j, Memgraph, or a triple store Search experience, particularly in tools like Open/ElasticSearch, Lucene, Vector search (Pinecone, postgres Vectors, etc) to support complex data relationships and querying needs. More ❯

GovCloud ) and technologies (e.g., Kubernetes, Rancher, Helm ) - Scalable web application development (e.g., Angular, Node, JavaScript, TypeScript, Django, RESTful APIs ) - Databases and query Languages (e.g., Elasticsearch, Oracle, MySQL, NoSQL, MongoDB, Neo4j ) - DevSecOps, microservice oriented architectures, containerization, and CI/CD tools and processes (e.g., GitLab, Docker, Jenkins ) - Embedded and real-time system programming. Functional programming a plus (Haskell, Scala, OCaml More ❯

following data classes: open source, publicly available information (PAI); forensic media (i.e. DOMEX); measurement and signatures intelligence (MASINT). Significant experience with Knowledge Graphs and KG tech such as neo4j Previous experience developing predictive algorithms Social network analysis, supply chain analysis, forensic accounting, pattern of life, natural language processing, social media analysis, classification algorithms, and/or image processing More ❯

solutions. Working with structured and unstructured data (JSON, Parquet, Avro, CSV, etc.). Python, PyTorch, TensorFlow, or similar ML frameworks. SQL and/or NoSQL databases (PostgreSQL, MongoDB, Cassandra, Neo4j, DynamoDB, etc.). Cloud platforms (AWS, Azure, or GCP). Preferred Qualifications Master's degree in AI/ML, Data Science, Computer Science, or related field. Experience with LLMs More ❯

hands-on experience designing or building systems using agentic AI frameworks (e.g. LangGraph, CrewAI). Knowledge of semantic web technologies, including ontologies (OWL/RDF) and graph databases (e.g., Neo4j). Familiarity with the concepts behind the Model Context Protocol (MCP) or similar advanced agentic architectures. Experience with modern observability stacks, particularly OpenTelemetry. Experience designing multi-tenant enterprise software More ❯

or Elastic Stack (Elasticsearch and Kibana) Deployment of data science applications (e.g. Streamlit) using Docker, Kubernetes, and/or OpenShift. Experience with Knowledge Graphs and KG tech such as neo4j or graph ML. Experience developing predictive algorithms, image classifiers, object detectors, and others. Familiarity with social network analysis, supply chain analysis, forensic accounting, pattern of life, natural language processing More ❯

Elastic Stack (Elasticsearch and Kibana). Deployment of data science applications (e.g. Streamlit) using Docker, Kubernetes, and/or OpenShift. Experience with Knowledge Graphs and KG tech such as neo4j or graph ML. Experience developing predictive algorithms, image classifiers, object detectors, and others. Familiarity with social network analysis, supply chain analysis, forensic accounting, pattern of life, natural language processing More ❯

on emerging technologies and support the roadmap for next-generation defence data solutions . Skills and experience: Strong knowledge of SQL (MS SQL, Oracle) and noSQL databases (e.g., MongoDB, Neo4J, InfluxDB). Hands-on experience with data processing and integration tools , including ETL, ESB, and APIs. Proficiency in Python or similar programming languages. Exposure to big data technologies (Hadoop More ❯

lake, data warehousing including Extract, Transform, Load (ETL) processes and data modeling is essential. Familiarity with cloud-based storage and computing platforms such as Azure, and AWS Must have Neo4J and Anzograph experience Proficiency in version control systems such as Git and understanding the concepts of branching, merging, and tagging is essential. TS/SCI with polygraph or ability More ❯

learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in Chantilly, VA, McLean, VA and in various field offices throughout Northern VA (we cannot support More ❯

learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in Chantilly, VA, McLean, VA and in various field offices throughout Northern VA (we cannot support More ❯

data ingestion and integration. • Configure and manage data analytic frameworks and pipelines using databases and tools such as (but not limited to) NoSQL, SQL, NiFi, Kafka, HDInsight, MongoDB, Cassandra, Neo4j, GraphDB, OrientDB, Spark, Flink, Hadoop, Kafka, Hive, and others. • Apply distributed systems concepts and principles such as consistency and availability, liveness and safety, durability, reliability, fault-tolerance, consensus algorithms. More ❯

nodes, edges, properties, traversals, and relationship patterns essential for effective graph database design • Graph Query Language Proficiency: Demonstrated expertise in one or more graph query languages such as Cypher (Neo4j), Gremlin (Apache TinkerPop), or SPARQL, for complex data retrieval and manipulation • Advanced Graph Data Modeling: Experience translating business requirements into optimized graph schemas, including property graphs, RDF triples, or More ❯

nodes, edges, properties, traversals, and relationship patterns essential for effective graph database design Graph Query Language Proficiency: Demonstrated expertise in one or more graph query languages such as Cypher (Neo4j), Gremlin (Apache TinkerPop), SPARQL, or GraphQL for complex data retrieval and manipulation Advanced Graph Data Modeling: Experience translating business requirements into optimized graph schemas, including property graphs, RDF triples More ❯

you have one or more of these: Advanced degree in C omputer S cience or other applicable STEM concentration . Knowledge of semantic data management or graph databases (ex. Neo4J, AWS Neptune). Experience with creating and maintaining organizational data management policies. Active TS/SCI clearance. An in-depth understanding in at least one of the following technical More ❯

and reward modeling. Deep proficiency in Python and AI/ML frameworks such as PyTorch, LangChain, LangGraph, GraphRAG, and AutoGen. Experience with modern vector and graph databases (e.g., ChromaDB, Neo4j) and LLMOps platforms (e.g., Azure, Databricks, Azure OpenAI). Proven track record of delivering scalable AI solutions in enterprise settings, preferably in life sciences. Excellent communication and interpersonal skills More ❯

learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in Chantilly, VA, McLean, VA and in various field offices throughout Northern VA (we cannot support More ❯