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Graph Strategy Jobs in Reston, VA (NOW HIRING)

Develop graph traversal capabilities using Apache TinkerPop, Gremlin, JanusGraph, or similar ... Design partition and sort key strategies to ensure consistent system performance. * Develop ...

In this role, you will lead the technical strategy and implementation of knowledge graph systems, automated content generation workflows, semantic data platforms, and intelligent content delivery ...

Develop graph traversal capabilities using Apache TinkerPop, Gremlin, JanusGraph, or similar ... Design partition and sort key strategies to ensure consistent system performance. * Develop ...

... graph, and NoSQL database environments, including schema design, data modeling, performance tuning, and query optimization. * Develop and implement data backup and recovery strategies as well as data ...

Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable identification, and hypothesis evaluation. Guides students through multi-step data questions, interpolation and ...

Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable identification, and hypothesis evaluation. Guides students through multi-step data questions, interpolation and ...

Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable identification, and hypothesis evaluation. Guides students through multi-step data questions, interpolation and ...

Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable identification, and hypothesis evaluation. Guides students through multi-step data questions, interpolation and ...

Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable identification, and hypothesis evaluation. Guides students through multi-step data questions, interpolation and ...

Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable identification, and hypothesis evaluation. Guides students through multi-step data questions, interpolation and ...

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Graph Strategy information

See Reston, VA salary details

$57.7K

$129.7K

$226.3K

How much do graph strategy jobs pay per year?

As of Jun 8, 2026, the average yearly pay for graph strategy in Reston, VA is $129,689.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,600.00 and $163,900.00 per year, depending on experience, location, and employer.

What is a Graph Strategy job?

A Graph Strategy job typically involves working with graph databases or technologies to analyze and model complex relationships among data points. Professionals in this role develop strategies for leveraging graph structures to solve business problems, such as optimizing network connections, detecting fraud, or improving recommendation systems. They often collaborate with data scientists, engineers, and business stakeholders to design, implement, and maintain graph-based solutions. This job requires strong analytical skills, a deep understanding of graph theory, and experience with graph database technologies like Neo4j. The goal is to extract valuable insights from interconnected data to drive strategic decisions.

How does a professional in Graph Strategy typically collaborate with data engineers and business analysts within an organization?

A Graph Strategy professional often acts as a bridge between technical teams (like data engineers) and business stakeholders (such as business analysts). They work closely with data engineers to design and optimize graph databases or knowledge graphs, ensuring that the underlying data structures support business needs. Simultaneously, they partner with business analysts to identify use cases, interpret data relationships, and translate business questions into graph queries or visualizations. This role requires both technical understanding and strong communication skills to align data assets with strategic business objectives.

What is the difference between Graph Strategy vs Data Analyst?

AspectGraph StrategyData Analyst
Required CredentialsOften requires knowledge of data visualization, analytics tools, and strategic planningTypically requires a degree in statistics, mathematics, or related fields; proficiency in Excel, SQL, and data analysis software
Work EnvironmentStrategic planning sessions, data visualization projects, cross-department collaborationData collection, cleaning, analysis, reporting, and presenting insights
Employer & Industry UsageUsed in marketing, finance, and tech companies for strategic decision-makingCommon in business, finance, healthcare, and tech sectors for data-driven insights

While both roles involve working with data, Graph Strategy focuses on creating visual data representations to inform strategic decisions, whereas Data Analysts primarily analyze data sets to generate actionable insights. Understanding these differences helps organizations assign the right roles for their data needs.

What are the key skills and qualifications needed to thrive as a Graph Strategy professional, and why are they important?

To thrive as a Graph Strategy professional, you need a strong background in mathematics, data analysis, and graph theory, often supported by a degree in computer science, mathematics, or a related field. Familiarity with graph databases (e.g., Neo4j), data visualization tools, and relevant programming languages like Python or Cypher is typically required. Strategic thinking, problem-solving, and effective communication are essential soft skills for translating complex data insights into actionable business strategies. These skills enable professionals to leverage graph structures for advanced analytics, driving informed decisions and competitive advantage.
What job categories do people searching Graph Strategy jobs in Reston, VA look for? The top searched job categories for Graph Strategy jobs in Reston, VA are:
What cities near Reston, VA are hiring for Graph Strategy jobs? Cities near Reston, VA with the most Graph Strategy job openings:
Software Engineer

Software Engineer

VTG

Chantilly, VA • On-site

Full-time

Posted 24 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