ZipRecruiter

Log In

1

Sparql Jobs (NOW HIRING)

Allstate

Senior AI Engineer

Chicago, IL

$126K - $166K/yr

Implement SPARQL querying and reasoning layers over knowledge graphs to drive downstream transformations and ensure consistent interpretation of business concepts. * Architect and deliver Python ‑ ...

Speria

Principal Data Architect

Atlanta, GA · On-site

... SPARQL for semantic interoperability. • Integrate structured and unstructured data into semantic layers for AI and analytics. • Build and optimize high-volume ETL/ELT pipelines using Spark ...

Xylo Technologies

Ontology Specialist

$17.50 - $23.25/hr

... SPARQL; iterate on representation patterns. • Codify tacit business knowledge into formal structures, in partnership with domain experts. • Explain tradeoffs between modeling approaches and ...

E-talentnetwork

Full stack Java Developer

Washington, DC · On-site

$59.50 - $76.75/hr

Experience with JavaScript build tools WebPack or similar * (ideal) Experience in linked data, RDF and SPARQL. * REST APIs * Experience with modern Java methodologies * Experience implementing ...

GHX

OR

$91K - $121K/yr

RDF, LPG, SPARQL, Cypher) * Understanding of data modeling, ontology design, data architecture * Familiar with LLMs and other machine learning and agentic solutions. * Familiar with all steps of SDLC ...

Software Technology Inc

Data Architect - Active Metadata

$65.25 - $84/hr

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.

SOSi

Ontologist

$117K - $140K/yr

Proficiency in writing advanced SPARQL queries. * Strong skills in the W3C Web Ontology Language (OWL). * Solid understanding of Basic Formal Ontology (BFO) and Common Core Ontologies (CCO)

Base-2 Solutions, LLC

Ontologist

$133K - $170K/yr

Write advanced SPARQL queries. * Apply strong skills in the W3C Web Ontology Language (OWL). * Understand Basic Formal Ontology (BFO) and Common Core Ontologies (CCO). * Develop ontology-driven ...

Software Technology Inc

Data Architect - Active Metadata

$65.25 - $84/hr

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.

Software Technology Inc

Data Architect - Active Metadata

$65.25 - $84/hr

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.

SOSi

Ontologist

$117K - $140K/yr

Proficiency in writing advanced SPARQL queries. * Strong skills in the W3C Web Ontology Language (OWL). * Solid understanding of Basic Formal Ontology (BFO) and Common Core Ontologies (CCO)

next page

Showing results 1-20

All JobsSparql Jobs

Sparql information

See salary details

$18

$30

$44

How much do sparql jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for sparql in the United States is $30.15, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $34.62 per hour, depending on experience, location, and employer.

Is SPARQL a programming language?

SPARQL is a query language used to retrieve and manipulate data stored in Resource Description Framework (RDF) format. It is not a general-purpose programming language but is essential for data analysts and developers working with semantic web technologies and linked data. Knowledge of query syntax and data modeling is important for SPARQL-related roles.

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 is SPARQL used for?

SPARQL is a query language used by data professionals, including those in roles like data analysts and semantic web developers, to retrieve and manipulate data stored in RDF (Resource Description Framework) format. It enables querying complex linked data and knowledge graphs, facilitating data integration and semantic data analysis.

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

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.

How is SPARQL different from SQL?

SPARQL is a query language used to retrieve and manipulate data stored in RDF format, often used in semantic web and linked data environments. SQL is a language designed for managing and querying structured data in relational databases. As a SPARQL developer, understanding the differences helps in selecting the right tool for data integration and knowledge graph projects.

What is a SPARQL job?

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 job makes $10,000 a month without a degree?

A SPARQL developer or data engineer can potentially earn $10,000 or more per month by working with semantic web technologies, querying large datasets, and managing data integration projects. Success in this field depends on strong technical skills, experience, and often self-education or certifications, as formal degrees are not always required. High-paying roles are typically found in tech companies, data-driven organizations, or consulting firms.
More about Sparql jobs
What are the most commonly searched types of Sparql jobs? The most popular types of Sparql jobs are:
What states have the most Sparql jobs? States with the most job openings for Sparql jobs include:
What job categories do people searching Sparql jobs look for? The top searched job categories for Sparql jobs are:
Sparql jobs near you
Infographic showing various Sparql job openings in the United States as of June 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 81% In-person, 2% Hybrid, and 17% Remote job distribution, with an average salary of $62,702 per year, or $30.1 per hour.
Senior AI Engineer

Senior AI Engineer

Allstate

Chicago, IL

$126K - $166K/yr

Full-time

Posted 13 days ago

Allstate Insurance rating

7.5

Company rating: 7.5 out of 10

Based on 552 frontline employees who took The Breakroom Quiz

195th of 262 rated insurance

Job description

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. 

Job Description

We are seeking a Senior AI Engineer on the Enterprise Intelligence Factory team to play a foundational role in building the enterprise Semantic Ontology & Dimension Factory Platform. This platform enables AI‑ready analytics by combining semantic ontologies, knowledge graphs, agentic AI, and data engineering to automatically generate business‑ready star schemas from heterogeneous enterprise data sources.
In this role, you will design and implement agent‑driven pipelines that leverage RDF/OWL ontologies, SPARQL, and Large Language Models (LLMs) to perform semantic alignment, dimension mining, and AI‑assisted data modelling at scale. You will work at the intersection of AI, semantics, and modern data platforms, helping establish engineering patterns and best practices for the team.
This is a hands‑on, senior individual-contributor role, ideal for engineers who enjoy building core platform capabilities rather than isolated experiments.

Key Responsibilities:

  • Design, build, and maintain agentic AI pipelines (using Google ADK or similar frameworks) to automate semantic mapping, dimension mining, and ontology‑driven reasoning. 
  • Create and evolve enterprise ontologies in RDF/OWL, including upper ontologies and domain extensions aligned to CIM (where applicable), to enable reusable enterprise semantics. 
  • Engineer LLM‑powered services for schema understanding, semantic alignment, ontology enrichment, and AI‑assisted metadata generation, with a focus on accuracy, traceability, and scale. 
  • Implement SPARQL querying and reasoning layers over knowledge graphs to drive downstream transformations and ensure consistent interpretation of business concepts. 
  • Architect and deliver Python‑based microservices and batch pipelines that integrate semantic reasoning with modern data‑engineering workflows. 
  • Build and optimize dimension and fact generation pipelines on Microsoft Fabric (Lakehouse, Spark, SQL, orchestration) to produce business‑ready star schemas from heterogeneous sources. 
  • Define and enforce engineering standards, design patterns, and reusable components for semantic and AI‑driven data platforms (quality, observability, security, and performance). 
  • Partner with data architects, domain SMEs, and governance teams to validate semantic definitions, manage change, and ensure platform scalability and adoption. 
  • Conduct code reviews, mentor engineers, and influence technical decisions across the platform to raise engineering quality and delivery velocity. 

Required Skills & Qualifications:

  • 6+ years of professional software engineering experience, with strong proficiency in Python and GenAI.  
  • Hands‑on experience building LLM‑based systems using commercial or open‑source models.  
  • Solid understanding of semantic technologies: RDF, OWL, ontologies, knowledge graphs, and SPARQL.  
  • Experience designing or working with agentic AI frameworks (e.g., Google ADK, LangChain agents, or similar).  
  • Strong background in data engineering concepts (ETL/ELT, star schemas, metadata‑driven pipelines).  
  • Experience building and operating systems on cloud platforms, preferably Microsoft Azure / Microsoft Fabric.  
  • Strong problem‑solving skills and ability to work in ambiguous, greenfield platform initiatives. 

Preferred Skills:

  • Experience with enterprise data models (e.g., CIM or canonical models).  
  • Familiarity with semantic alignment, ontology mapping, or data cataloguing tools.  
  • Exposure to MLOps / LLMOps, model evaluation, and AI observability.  
  • Knowledge of distributed systems, CI/CD pipelines, and containerisation.  
  • Experience building AI‑assisted analytics or semantic layers for BI or NLQ use cases. 

The hiring manager has flexibility to hire across several levels of seniority. The level will be determined by the selected applicant's skills and competencies.

#LI-TE1

Skills

Agentic AI, Agentic Design, AI Frameworks, Large Language Models (LLMs), LLM Guardrails, LLM Orchestration, Ontology, Python (Programming Language)

Compensation

Compensation offered for this role is 100,000.00 - 170,500.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.

Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.


For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.

To view the “EEO Know Your Rights” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs.

To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.

It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.

What Allstate Insurance employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply