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Remote Graph Database Jobs in Washington, DC (NOW HIRING)

VTG

Software Engineer

Chantilly, VA · Remote

Design and optimize high-performance graph databases containing tens of billions of edges ... Bachelor's degree in Geospatial Intelligence, Geography, Remote Sensing, Intelligence Studies ...

ZIO Technologies

AI ML Software Engineer

Annapolis, MD · On-site +1

$113.30K - $136.10K/yr

Remote (U.S.-based) with occasional onsite requirements Duration: Long-term engagement (up to 5 ... Graph databases or graph extensions (e.g., Neo4j, Apache AGE) * Designing and implementing multi ...

Black Canyon Consulting

Lead Ontologist

Bethesda, MD · Remote

This is a remote-first role, with a preference for U.S.-based candidates working East Coast hours ... Experience with knowledge graph platforms or graph databases * Experience in client-facing roles ...

Enterprise Knowledge

Semantic Data and AI Engineer

Arlington, VA · On-site +1

$131.90K - $158.40K/yr

While local candidates are preferred, we are also able to hire remote candidates residing in the ... Experience designing and working with graph databases and SPARQL * Experience with AI governance ...

Celonis

Senior Customer Support Engineer

Washington, DC · On-site +1

$100K - $117K/yr

We invest heavily in advanced AI capabilities-specifically our Process Intelligence Graph-to turn ... As part of the 2nd Level Support Team you will take over the technical support (remote) of our ...

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All JobsRemote Graph Database JobsRemote Graph Database Jobs in Washington, DC

Remote Graph Database information

See Washington, DC salary details

$30

$60

$91

How much do remote graph database jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote graph database in Washington, DC is $60.16, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $68.08 per hour, depending on experience, location, and employer.

What is the difference between Remote Graph Database vs Remote Data Analyst?

AspectRemote Graph DatabaseRemote Data Analyst
Required CredentialsKnowledge of graph database systems, certifications like GraphDB or Neo4j certificationsDegree in Data Science, Statistics, or related fields; certifications like Microsoft Data Analyst or Tableau
Work EnvironmentPrimarily working with database management systems, query languages like Cypher, and data modelingAnalyzing datasets, creating reports, using tools like Excel, SQL, Tableau
Employer & Industry UsageTech companies, data-driven organizations, database service providersBusiness intelligence firms, marketing agencies, finance sectors
Search & Comparison IntentUnderstanding technical roles in database managementComparing data analysis roles and skills

Remote Graph Database specialists focus on managing and querying graph databases using specific tools and certifications, while Remote Data Analysts interpret data to provide insights using analytical tools. Both roles are essential in data-driven industries but differ in technical focus and daily tasks.

What are popular job titles related to Remote Graph Database jobs in Washington, DC? For Remote Graph Database jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Graph Database jobs in Washington, DC look for? The top searched job categories for Remote Graph Database jobs in Washington, DC are:
Remote Graph Database jobs near you
Software Engineer

Software Engineer

VTG

Chantilly, VA • Remote

Full-time

Posted 15 days ago

Job description

Overview

We are looking for a Software Engineer / Data Engineer to join our team. 


What will you do?

  • Design, build, and operate large-scale Big Data systems, including persistence, partitioning, indexing, and search capabilities.

  • Develop and maintain Java-based applications and APIs.

  • Architect and implement cloud-native solutions using AWS or comparable cloud platforms.

  • Design and optimize high-performance graph databases containing tens of billions of edges.

  • Develop graph traversal capabilities using Apache TinkerPop, Gremlin, JanusGraph, or similar technologies.

  • Build and maintain NoSQL and relational database solutions supporting complex Big Data applications.

  • Design partition and sort key strategies to ensure consistent system performance.

  • Develop aggregation operations to de-duplicate records across continuous data feeds.

  • Build and operate serverless data processing pipelines using AWS Lambda, Step Functions, and PySpark.

  • Design and operate large-scale geospatial indexing solutions using GeoMESA.

  • Develop and maintain Kubernetes-based containerized environments.

  • Implement DevSecOps and agile development practices in production environments.

  • Maintain configuration management using Git-based repositories.

  • Facilitate technical discussions across cross-functional teams to develop mission-aligned implementation strategies.

  • Ensure compliance with federal security, regulatory, and accreditation requirements.

  • Implement data security and governance controls including LDAP integration, encryption, and auditing.


Do you have what it takes?
  • Active TS/SCI with Polygraph required.
  • Bachelor’s degree in Geospatial Intelligence, Geography, Remote Sensing, Intelligence Studies, Engineering, or related field, or equivalent experience
  • Demonstrated experience with Java development.
  • Experience designing and operating Big Data systems.
  • Experience developing and maintaining APIs.
  • Experience designing cloud-native architectures using AWS or similar cloud platforms.
  • Experience building and optimizing large-scale graph databases using technologies such as Cassandra, DynamoDB, Neo4j, or JanusGraph.
  • Experience developing graph traversal capabilities using Apache TinkerPop and Gremlin.
  • Experience designing and operating NoSQL solutions.
  • Experience in data modeling, partition sharding, stream processing, and metrics gathering.
  • Experience developing high-performance data processing pipelines.
  • Experience with Kubernetes, Docker, and container orchestration.
  • Experience with Apache NiFi.
  • Experience implementing DevSecOps and agile methodologies.
  • Experience with data security controls including encryption and centralized access management (LDAP).
  • Experience working with structured, semi-structured, and unstructured data formats (CSV, JSON, AVRO, Parquet, Protocol Buffers, etc.).
  • Experience with relational and NoSQL databases including PostgreSQL, MariaDB, MongoDB, Cassandra, ELK, MinIO, and AWS S3.
  • Experience working in Linux environments such as CentOS or Rocky Linux.
  • Experience with Python and related libraries.
  • Experience supporting large collaboration and development environments
  •  
Qualifications:
  • Active TS/SCI with Polygraph required.
  • Bachelor’s degree in Geospatial Intelligence, Geography, Remote Sensing, Intelligence Studies, Engineering, or related field, or equivalent experience
  • Demonstrated experience with Java development.
  • Experience designing and operating Big Data systems.
  • Experience developing and maintaining APIs.
  • Experience designing cloud-native architectures using AWS or similar cloud platforms.
  • Experience building and optimizing large-scale graph databases using technologies such as Cassandra, DynamoDB, Neo4j, or JanusGraph.
  • Experience developing graph traversal capabilities using Apache TinkerPop and Gremlin.
  • Experience designing and operating NoSQL solutions.
  • Experience in data modeling, partition sharding, stream processing, and metrics gathering.
  • Experience developing high-performance data processing pipelines.
  • Experience with Kubernetes, Docker, and container orchestration.
  • Experience with Apache NiFi.
  • Experience implementing DevSecOps and agile methodologies.
  • Experience with data security controls including encryption and centralized access management (LDAP).
  • Experience working with structured, semi-structured, and unstructured data formats (CSV, JSON, AVRO, Parquet, Protocol Buffers, etc.).
  • Experience with relational and NoSQL databases including PostgreSQL, MariaDB, MongoDB, Cassandra, ELK, MinIO, and AWS S3.
  • Experience working in Linux environments such as CentOS or Rocky Linux.
  • Experience with Python and related libraries.
  • Experience supporting large collaboration and development environments
  •  
Education:UNAVAILABLEEmployment Type: FULL_TIME

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