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Remote Sparql Jobs (NOW HIRING)

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL ...

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL ...

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL ...

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL ...

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL ...

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL ...

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL ...

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL ...

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL ...

Menlo Park, CA (Remote) Role Type: Contract Experience: 12+ Years Role Overview: We are seeking a ... Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL reasoning. - Production-level ...

Technical Skills & Tools - Strong knowledge of OWL, RDF, SPARQL, and knowledge graph technologies ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

Technical Skills & Tools - Strong knowledge of OWL, RDF, SPARQL, and knowledge graph technologies ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Role Type: Contract Experience: 12+ Years Role Overview: We are seeking a ... Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL reasoning. - Production-level ...

Technical Skills & Tools - Strong knowledge of OWL, RDF, SPARQL, and knowledge graph technologies ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

East Hanover (Onsite: 3days & 2 days remote a week) Duration: 06 Months Pay Range: $(53.57 - $64.28 ... OWL, and SPARQL querying • Property graph / knowledge graph modeling for relationships and ...

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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 some 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 are Remote SPARQL jobs?

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 are the key skills and qualifications needed to thrive as a Remote SPARQL Developer, and why are they important?

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.
More about Remote Sparql jobs
What cities are hiring for Remote Sparql jobs? Cities with the most Remote Sparql job openings:
What are the most commonly searched types of Sparql jobs? The most popular types of Sparql jobs are:
What states have the most Remote Sparql jobs? States with the most job openings for Remote Sparql jobs include:
Data Architect - Active Metadata

$65.25 - $84/hr

Other

Posted 13 days ago


Job description

Data Architect

Location: Menlo Park, CA (Remote)

Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or Computational Mathematics.

Role Overview: We are seeking a visionary to architect a Self-Healing, Autonomous Data Fabric. You will replace legacy ETL with a "nervous system" where metadata is active, governance is computational, and data sharing is zero-copy.

Mandatory Skills:

  • Active Metadata: Experience building closed-loop automation (e.g., metadata-triggered autonomous schema repair).
  • Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL reasoning.
  • Production-level Open Policy Agent (OPA)/ Policy-as-Code (Zero-Trust) for dynamic, context-aware access control.

Other Technical Skills:

  • Advanced Privacy: Implementation of Homomorphic Encryption (FHE) or SMPC for analytics on encrypted PII.
  • Zero-Copy Architecture: Expertise in Delta Sharing for cross-cloud analytics without egress.
  • Compute: Trino (GraalVM), StarRocks, DuckDB (WASM).
  • Orchestration: Dagster, Airflow (Provider-level).
  • Semantic Layer: Stardog, Apache Jena, GraphQL Federation.
  • System Languages: Rust, Clojure, or Java.