1

Graph Database Jobs in Virginia (NOW HIRING)

Work with relational, NoSQL, and graph databases to design efficient data models and queries. * Deploy, manage, and optimize applications in cloud-based and containerized environments. * Collaborate ...

Database Engineer

Arlington, VA · On-site

$75 - $90/hr

Proven expertise in supporting Accumulo-based ingestion, analytics, graph-processing, or cyber ... Ability to troubleshoot, optimize, and secure complex database systems Nice to Have Skills:

next page

Showing results 1-20

Graph Database information

See Virginia salary details

$26

$52

$80

How much do graph database jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for graph database in Virginia is $52.66, according to ZipRecruiter salary data. Most workers in this role earn between $43.12 and $59.57 per hour, depending on experience, location, and employer.

What is a Graph Database job?

A Graph Database job typically involves working with graph-based database technologies such as Neo4j, ArangoDB, or Amazon Neptune. Professionals in this role design, implement, and optimize graph database models to efficiently store and retrieve complex relationships between data points. Common responsibilities include data modeling, query optimization using graph query languages (e.g., Cypher, Gremlin), and integrating graph databases into larger data ecosystems. These roles are often found in industries like fraud detection, social networking, and recommendation systems, where understanding relationships between data is crucial.

What are the key skills and qualifications needed to thrive in the Graph Database position, and why are they important?

To thrive as a Graph Database Engineer, you need expertise in data modeling, query languages such as Cypher or Gremlin, and a solid understanding of graph theory and database architectures. Familiarity with graph database platforms like Neo4j, Amazon Neptune, or TigerGraph, as well as certifications in relevant technologies, are highly valued. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for collaborating with development and analytics teams. These competencies are vital for designing efficient graph data solutions, optimizing performance, and supporting business insights through connected data analysis.

What are some common challenges faced by professionals working with graph databases?

One common challenge when working with graph databases is efficiently modeling highly connected data structures to optimize for both query performance and scalability. Professionals must continuously evaluate indexing strategies and traversal queries to prevent bottlenecks as datasets grow. Another challenge is integrating graph databases with existing data pipelines or relational systems, which often requires specialized knowledge. However, these challenges offer opportunities to innovate and collaborate with cross-functional teams to deliver powerful solutions for complex data relationships.

What are the most commonly searched types of Graph Database jobs in Virginia? The most popular types of Graph Database jobs in Virginia are:
What job categories do people searching Graph Database jobs in Virginia look for? The top searched job categories for Graph Database jobs in Virginia are:
What cities in Virginia are hiring for Graph Database jobs? Cities in Virginia with the most Graph Database job openings:
Infographic showing various Graph Database job openings in Virginia as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $109,541 per year, or $52.7 per hour.

Principal/Senior Principal Database Engineer (TS/SCI Clearance)

SHLD, Inc.

Herndon, VA • On-site

Full-time

Re-posted 15 days ago


Job description

*****MUST HAVE TS/SCI WITH ABILITY TO OBTAIN A CI POLY CLEARANCE*****
For Principal Level:
Bachelor's degree with 5+ years of relevant experience OR a Master's degree with 3+ years of relevant experience OR A PhD with no experience; an additional 4 years of experience maybe considered in lieu of a degree requirement.
For Senior Principal Level:
Bachelor's degree with 9+ years of relevant experience OR a Master's degree with 7+ years of relevant experience OR A PhD with 41+ years of relevant experience; an additional 4 years of experience maybe considered in lieu of a degree requirement.
The selected candidate will work within a Production Operations team supporting data management processes, database engineering and management, deploying, maintaining, tuning, and enhancing database systems
Job Duties:
• Database engineering and management activities associated with high volume, multi-format data management services
• Maintains large-scale data management solutions including developing efficient storage, indexing, and access approaches
• Updates data enterprise architecture models (if needed) and data abstraction layer to enable access to new data sources
• Designs and implements indexing strategies for ingested data.
• Developing a strategy for continuous performance tuning of databases
Basic Qualifications:
• Experience with Postgres, SQL, and database performance tuning
• Experience installing application software in an operational environment
• Experience with Agile, AWS, RDBMS technology, Elasticsearch, Linux
• DoD IAT Level II certification
• Active TS/SCI with ability to obtain a poly
Preferred Qualifications:
• Familiarity with NoSQL technology (Hadoop and/or EMR)
• Familiarity with Graph database technology
• Data modeling experience
Shld, Inc. is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.