ZipRecruiter

Log In

1

Sparql Jobs in California (NOW HIRING)

Veeam Software

Director, Graph Databases

San Jose, CA · On-site

$296K/yr

Deep knowledge of Gremlin, Cypher/openCypher, and/or SPARQL, including performance tuning and query design best practices * Experience with data lakes/lakehouses (Delta Lake, Iceberg, Parquet) across ...

Jj

Principal Data Scientist - Oncology

San Diego, CA · On-site

Work with SPARQL/GraphQL/REST services; develop ingestion and curation pipelines to ingest, normalize and map concepts across data sources. * Extend and curate Oncology R&D-relevant ontologies (e.g ...

next page

Showing results 1-20

All JobsSparql JobsSparql Jobs in California

Sparql information

What is a sparql?

A SPARQL job typically involves working with SPARQL, a query language used to retrieve and manipulate data stored in RDF (Resource Description Framework) format. Professionals in this role often work with semantic web technologies, knowledge graphs, and linked data. They may develop queries to extract insights, integrate data from various sources, and optimize database performance. Common roles include data engineers, semantic web developers, and ontology specialists.

What are the key skills and qualifications needed to thrive in the sparql position?

To thrive in a SPARQL Developer role, you need a solid understanding of semantic web technologies, RDF data modeling, and advanced SPARQL query design, typically supported by a degree in Computer Science or a related field. Experience with triplestore databases such as Apache Jena, Virtuoso, or Stardog, and proficiency in programming languages like Python or JavaScript are commonly required. Strong analytical thinking, attention to detail, and effective collaboration skills are crucial in this position. These competencies ensure efficient extraction of insights from complex linked data, facilitate integration tasks, and support business-driven data initiatives.

What are some common challenges faced by sparql developers, and how can they overcome them?

SPARQL Developers often encounter challenges when working with large, interconnected datasets or optimizing complex queries for triplestore performance. Navigating the nuances of schema design, integrating disparate data sources, and ensuring precise query results are part of the day-to-day work. Collaborating closely with data architects and subject matter experts helps address ambiguity and clarify project requirements. Staying up to date with advances in semantic technologies and routinely profiling queries can also lead to more efficient solutions and better overall project outcomes.

What are the most commonly searched types of Sparql jobs in California?

The most popular types of Sparql jobs in California are:

What are popular job titles related to Sparql jobs in California?

For Sparql jobs in California, the most frequently searched job titles are:

What job categories do people searching Sparql jobs in California look for?

The top searched job categories for Sparql jobs in California are:

Sparql jobs near you
Infographic showing various Sparql job openings in California as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 46% Physical, 45% Hybrid, and 9% Remote job distribution.

Principal Data Architect

Connect Tech+Talent

Menlo Park, CA • On-site

Other

This job post has expired 4 days ago. Applications are no longer accepted.

Job description

Principal Data Architect

Location: Menlo Park, CA(Remote)

Role Type: 12 Month Contract


Position Overview:

We are looking for a forward thinking 10+ Years Data Architect, who is visionary to pioneer the engineering and orchestration of an enterprise-scale, Self-Healing Data Fabric. In this high-impact mandate, you will dismantle traditional, rigid ETL pathways and help implement an intelligent & nervous system& framework where operational metadata is continuously active, enterprise data governance is completely computational, and multi-party data virtualization relies on zero-copy architectures.


Mandatory Technical:

• Active Metadata Infrastructure: Demonstrated success designing closed-loop data automation pipelines (e.g., building automated engines for metadata-triggered schema self-repair and structural drift remediation).

• Advanced Semantic Engineering: Comprehensive mastery of semantic web standards, including RDF, OWL, and SHACL, for building ontology-first structural data models alongside SPARQL for context-aware graph reasoning.

• Policy-as-Code Compliance: Production-grade deployment experience utilizing Open Policy Agent (OPA) or equivalent zero-trust policy engines to enforce programmatic, contextual data access control layers.

• Caelum or Amundsen push-events: Alongside DataHub& Actions Framework to drive real-time, event-based data quality orchestration and automated schema rollbacks


Note

Target Educational Profiles:

• Required: Minimum of 10+ years of enterprise data strategy experience.

• Preferred: Masters degree or Ph.D. in Computer Science with a core focus on Formal

Methods/Symbolic Logic or Computational Mathematics.

•Key Focus Areas: Active Metadata, RDF, OWL, SHACL, SPARQL, OPA, Caelum/Amundsen.

Apply