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Knowledge Graph Jobs in Virginia (NOW HIRING)

ICF

Program Manager (Data Modernization)

Reston, VA · Hybrid

Oversee team performing multi-year modernization initiatives spanning data engineering, advanced analytics, artificial intelligence, cloud architecture, and knowledge graph technologies. * Manage ...

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How much do knowledge graph jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for knowledge graph in Virginia is $30.77, according to ZipRecruiter salary data. Most workers in this role earn between $15.72 and $25.72 per hour, depending on experience, location, and employer.

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

To thrive as a Knowledge Graph Engineer, you need strong skills in semantic web technologies, ontology modeling, and data integration, typically supported by a background in computer science or data science. Familiarity with tools like RDF, SPARQL, OWL, and knowledge graph platforms (e.g., Neo4j, GraphDB) is common, and certifications in data engineering or semantic technologies are beneficial. Effective communication, problem-solving abilities, and cross-functional collaboration are valuable soft skills in this field. These competencies are crucial for designing, implementing, and maintaining knowledge graphs that enable advanced data discovery and insights for organizations.

What is a Knowledge Graph job?

A Knowledge Graph job typically involves designing, building, and maintaining structured representations of data that map relationships between entities. Professionals in this role work with technologies like RDF, SPARQL, ontologies, and graph databases to enhance data integration, retrieval, and reasoning. These jobs are common in AI, search, and data science fields, helping organizations improve knowledge discovery and decision-making.

What are some typical daily responsibilities of a Knowledge Graph Engineer?

As a Knowledge Graph Engineer, your typical day involves designing and developing ontologies, integrating diverse data sources, and implementing graph-based data models to enhance information accessibility. You may work closely with data scientists, software developers, and business analysts to gather requirements and translate them into scalable knowledge graph solutions. Regular tasks include writing SPARQL queries, performing data mapping, maintaining documentation, and troubleshooting graph data issues. Collaboration and ongoing learning are integral as this field rapidly evolves with new tools and best practices.

What are the most commonly searched types of Knowledge Graph jobs in Virginia? The most popular types of Knowledge Graph jobs in Virginia are:
What are popular job titles related to Knowledge Graph jobs in Virginia? For Knowledge Graph jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Knowledge Graph jobs in Virginia look for? The top searched job categories for Knowledge Graph jobs in Virginia are:
Knowledge Graph jobs near you
Infographic showing various Knowledge Graph job openings in Virginia as of June 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $63,997 per year, or $30.8 per hour.
Program Manager (Data Modernization)

Program Manager (Data Modernization)

ICF International, Inc.

Reston, VA • On-site

Full-time

Posted 18 days ago

Job description

The Work
Our Digital Modernization Division specializes in delivering enterprise-scale data platforms, cloud modernization, advanced analytics, and DevSecOps engineering capabilities to federal government agencies. We design, build, and operate high-performance data and analytics ecosystems that enable mission-critical decision-making.
We are seeking an accomplished Program Manager with extensive experience in leading complex federal data initiatives. In this role, you will oversee the development, operations, and modernization of an advanced analytics and enterprise data environment that supports a major federal mission. This environment is comprised of a cloud-hosted data lake, Databricks, Tableau, graph data services, social media analytics tools, and a comprehensive DevSecOps toolchain.
Job Location
Hybrid schedule up to 3x a week within the Washington, DC area.
What You Will Do:
Enterprise Program Leadership
  • Lead the end-to-end management of a large federal data platform, including a cloud-hosted enterprise data lake, reporting tools, AI/ML capabilities, and enterprise analytics services.
  • Manage program financials, staffing plans, contract performance, and resource allocations. Lead program-level planning, roadmap development, dependency management, and release coordination across multiple workstreams.
  • Oversee team performing multi-year modernization initiatives spanning data engineering, advanced analytics, artificial intelligence, cloud architecture, and knowledge graph technologies.
  • Manage cross-functional agile delivery teams specializing in analytics, data engineering, cloud operations, security, and user support.
  • Champion the adoption of AI/ML, automation, predictive modeling, and responsible data science methodologies.
  • Partner with DevSecOps and cloud engineering leads to align processes, tools, and compliance with ATO requirements.

Data, Analytics & Reporting Operations
  • Oversee the management of operational data stores, data marts, data ingestion pipelines, and API-driven data sharing services.
  • Ensure the reliability, accuracy, and performance of enterprise reporting tools, including Tableau, SAS, Oracle Analytics, and social listening/response platforms.

Stakeholder, Governance & Compliance
  • Serve as the primary interface with federal leadership, mission owners, and technical teams.
  • Ensure adherence to federal data governance, identity management, security, privacy, and compliance requirements for the program.
  • Ensure compliance with federal security controls, ATO requirements, zero trust initiatives, and continuous monitoring obligations.
  • Develop and maintain program KPIs, dashboards, and performance reports.

Vendor, Partner & Multi-Team Coordination
  • Manage subcontractors, partners, and multi-vendor engineering teams to ensure cohesive delivery.
  • Coordinate with other federal portfolios, enterprise systems, and shared services organizations to facilitate cross-cutting integrations and modernization initiatives.

What You Will Bring With You:
  • U.S. Citizen with ability to obtain and maintain a federal Public Trust or equivalent clearance.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline.
  • 10+ years of professional experience managing large-scale data and analytics projects
  • Must have Project Management Professional (PMP) certification.
  • Information Technology Infrastructure Library (ITIL) certification
  • Program management certification/leadership/management certification or agile certifications (e.g. SAFe, Certified Scrum Master (CSM)

What We Would Like You To Bring With You:
  • Significant technology expertise in addition to program management experience.
  • Demonstrated success leading multi-vendor teams and complex contracting environments.
  • Demonstrated ability to manage complex data ingestion, advanced analytics workloads, and distributed compute environments.
  • Proven experience with programs integrating AI/ML and predictive analytics into enterprise operations.
  • Strong background in implementing Agile methodologies at scale.
  • Experience managing programs using Databricks
  • Experience with programs performing work in knowledge graphs, investigative analytics, or advanced entity resolution.
  • Experience leading cloud modernization programs in AWS or Azure environments.
  • Previous hands-on technical experience

Professional Skills:
  • Outstanding communication, stakeholder engagement, and executive briefing capabilities.
  • Strong analytical reasoning, program oversight, and problem-solving skills.
  • Highly organized with the ability to manage multiple concurrent technical workstreams.
  • Proven track record of leading teams through ambiguity and evolving modernization requirements.

Working at ICF
ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.
We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy.
We will consider for employment qualified applicants with arrest and conviction records.
Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act.
Candidate AI Usage Policy
At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.
However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.
Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.
The pay range for this position based on full-time employment is:
$130,687.00 - $222,169.00
Reston, VA (VA30)

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