2

Remote Sparql Jobs in Florida (NOW HIRING)

This role is an early opportunity, expecting to allow remote work up to 100%. Serve as a resident ... Develop SPARQL queries to address specific competency questions across multiple business domains

Remote Sparql information

What is the difference between Remote Sparql vs Remote Data Analyst?

AspectRemote SparqlRemote Data Analyst
Required CredentialsKnowledge of SPARQL, RDF, semantic web technologiesDegree in Data Science, Statistics, or related field; proficiency in SQL and data visualization tools
Work EnvironmentPrimarily technical, involving querying and managing semantic data sourcesAnalytical, involving data interpretation, reporting, and visualization
Employer & Industry UsageTech companies, research institutions, semantic web projectsBusiness, finance, healthcare, and various industries requiring data insights
Search & Comparison IntentUnderstanding technical roles involving semantic data queryingComparing data-focused roles with technical querying positions

Remote Sparql specialists focus on querying semantic web data using SPARQL, while Remote Data Analysts interpret and visualize data for business insights. Both roles require strong analytical skills but differ in technical expertise and industry applications.

What are common challenges faced by professionals working in remote SPARQL roles, and how can they be addressed?

Remote SPARQL professionals often encounter challenges related to data integration and maintaining clear communication with distributed teams. Since SPARQL is used for querying complex datasets like RDF and linked data, understanding data models and schema differences can be a hurdle. Additionally, coordinating with team members across different time zones can make collaboration on data modeling and query optimization tasks more difficult. To address these issues, it's important to adopt clear documentation practices, use collaborative tools for version control and communication, and participate in regular virtual meetings to ensure alignment and knowledge sharing.

What is a remote SPARQL?

Remote SPARQL jobs are positions that involve working with SPARQL, a query language for databases that store data in the Resource Description Framework (RDF) format, from a location outside of a traditional office setting. Professionals in these roles typically design, write, and optimize SPARQL queries to extract and manipulate data from semantic web databases. Remote SPARQL jobs are common in organizations dealing with big data, linked data, or semantic technologies, allowing employees to collaborate online and manage data integration tasks from anywhere in the world.

What skills and qualifications are needed to thrive as a remote SPARQL developer?

To succeed as a Remote SPARQL Developer, you need a solid background in semantic web technologies, RDF data modeling, and expertise in writing complex SPARQL queries, usually supported by a degree in computer science or a related field. Familiarity with triple stores like Apache Jena, Virtuoso, and tools such as Protégé, as well as experience with REST APIs and version control systems, is typically required. Strong analytical thinking, attention to detail, and effective remote communication skills set standout professionals apart. These capabilities ensure accurate data querying, efficient collaboration across distributed teams, and the ability to deliver robust semantic solutions.
What job categories do people searching Remote Sparql jobs in Florida look for? The top searched job categories for Remote Sparql jobs in Florida are:
What cities in Florida are hiring for Remote Sparql jobs? Cities in Florida with the most Remote Sparql job openings:

Platform Architect/Consultant

NewGen

Tampa, FL • On-site, Remote

Full-time

Re-posted 5 days ago


Job description

This role is an early opportunity, expecting to allow remote work up to 100%.
Serve as a resident architect and technical delivery consultant for an AWS Neptune Ontology Platform engagement. This role involves designing, building, and optimizing a knowledge graph solution using Amazon Neptune, RDF/OWL ontologies, and SPARQL for Aeronautics and RMS use cases in a non-production environment. The consultant will collaborate closely with customer data engineering teams, integrate Generative AI capabilities, and provide hands-on training to enable long-term self-sufficiency.
Responsibilities
  • Ontology development and refinement for Aeronautics and RMS use cases
  • Design and implement federated query mechanisms across materialized ontologies in Amazon Neptune and virtual knowledge graphs (Ontop)
  • Develop SPARQL queries to address specific competency questions across multiple business domains
  • Configure Neptune instances with appropriate security models in non-production environments
  • Design and deploy data security models and deployment architectures
  • Integrate Generative AI capabilities with ontology structures for query and reasoning
  • Implement iterative ontology refinement based on domain SME feedback
  • Conduct hands-on training sessions on RDF, SPARQL, and Neptune capabilities
  • Define ontology maintenance and change control processes
  • Provide regular status reports and collaborate with engagement management
  • Create production deployment guides and architecture documentation
  • Co-develop solutions with customer data engineering teams

Requirements
  • US Citizenship
  • Secret Clearance
  • Experience in data engineering, knowledge representation, or graph databases
  • Deep expertise in Amazon Neptune (or equivalent graph database platforms)
  • Strong proficiency in RDF, OWL, SPARQL, and semantic web technologies
  • Experience designing and implementing enterprise ontologies
  • Hands-on experience with federated query architectures
  • Knowledge of Industrial Ontologies Foundry (IOF) or similar ontology standards
  • Experience with data security model design and IAM configurations in AWS
  • Proven ability to design scalable deployment architectures on AWS
  • Strong communication skills for stakeholder engagement and knowledge transfer
  • Experience working in regulated or defense industry environments
  • Technical Skills
    • Amazon Neptune (configuration, deployment, optimization)
    • RDF/OWL ontology engineering
    • SPARQL query development and optimization
    • Federated query design (Neptune + Ontop)
    • AWS security (IAM, VPC, security groups)
    • Generative AI integration patterns
    • Graph database design patterns
  • Soft Skills
    • Technical leadership and mentoring
    • Customer-facing communication and presentation
    • Knowledge transfer and training delivery
    • Cross-functional collaboration
    • Problem-solving in ambiguous technical domains
    • Stakeholder management across multiple business units
Desired Skills
  • Experience with Ontop or similar virtual knowledge graph tools
  • Familiarity with Supply Chain Reference Ontology (SCRO) standards
  • Experience integrating Generative AI with knowledge graphs or ontology systems
  • AWS certifications (Solutions Architect Professional, Database Specialty)
  • Experience with manufacturing or supply chain ontology use cases
  • Prior experience delivering AWS Professional Services engagements
  • Familiarity with aerospace/defense industry data governance requirements

About Us
For more than 20 years, NewGen Technologies has solved our clients' toughest IT challenges with integrity, security, and outstanding service by delivering both technology and talent. We have helped secure borders, have used artificial intelligence (AI) to fight terror, aided the identification of criminals, and have helped to prevent crime through the introduction of biometrics. Our team of Highly Cleared Specialists have hard-to-find skills and expertise in a wide spectrum of technologies to provide solutions that transform business processes and solve problems of national significance. #CJ