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Graph Strategy Jobs in Chicago, IL (NOW HIRING)

Long Finch Technologies

Senior Graph Developer

La Grange, IL · Hybrid

$53.25 - $70.25/hr

Develop and optimize graph data models, queries, and performance tuning strategies using SPARQL and/or Gremlin. * Build and maintain data ingestion frameworks and ETL pipelines for graph-based ...

Long Finch Technologies

Senior Graph Developer

Skokie, IL · Hybrid

$52 - $68.75/hr

Develop and optimize graph data models, queries, and performance tuning strategies using SPARQL and/or Gremlin. * Build and maintain data ingestion frameworks and ETL pipelines for graph-based ...

Long Finch Technologies

Senior Graph Developer

Berkeley, IL · Hybrid

$53.75 - $71.25/hr

Develop and optimize graph data models, queries, and performance tuning strategies using SPARQL and/or Gremlin. * Build and maintain data ingestion frameworks and ETL pipelines for graph-based ...

Long Finch Technologies

Senior Graph Developer

Lyons, IL · Hybrid

$54.50 - $72/hr

Develop and optimize graph data models, queries, and performance tuning strategies using SPARQL and/or Gremlin. * Build and maintain data ingestion frameworks and ETL pipelines for graph-based ...

Long Finch Technologies

Senior Graph Developer

Chicago, IL · Hybrid

$54.25 - $71.50/hr

Develop and optimize graph data models, queries, and performance tuning strategies using SPARQL and/or Gremlin. * Build and maintain data ingestion frameworks and ETL pipelines for graph-based ...

Long Finch Technologies

Senior Graph Developer

Chicago, IL · Hybrid

$54.75 - $72.25/hr

Develop and optimize graph data models, queries, and performance tuning strategies using SPARQL and/or Gremlin. * Build and maintain data ingestion frameworks and ETL pipelines for graph-based ...

Long Finch Technologies

Senior Graph Developer

Winnetka, IL · Hybrid

$57 - $75.50/hr

Develop and optimize graph data models, queries, and performance tuning strategies using SPARQL and/or Gremlin. * Build and maintain data ingestion frameworks and ETL pipelines for graph-based ...

Long Finch Technologies

Senior Graph Developer

Cicero, IL · Hybrid

$54.75 - $72.25/hr

Develop and optimize graph data models, queries, and performance tuning strategies using SPARQL and/or Gremlin. * Build and maintain data ingestion frameworks and ETL pipelines for graph-based ...

Long Finch Technologies

Senior Graph Developer

Cragin, IL · Hybrid

$52.25 - $69/hr

Develop and optimize graph data models, queries, and performance tuning strategies using SPARQL and/or Gremlin. * Build and maintain data ingestion frameworks and ETL pipelines for graph-based ...

Long Finch Technologies

Senior Graph Developer

Wilmette, IL · Hybrid

$51.75 - $68.50/hr

Develop and optimize graph data models, queries, and performance tuning strategies using SPARQL and/or Gremlin. * Build and maintain data ingestion frameworks and ETL pipelines for graph-based ...

Long Finch Technologies

Senior Graph Developer

Hines, IL · Hybrid

$54 - $71.25/hr

Develop and optimize graph data models, queries, and performance tuning strategies using SPARQL and/or Gremlin. * Build and maintain data ingestion frameworks and ETL pipelines for graph-based ...

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Showing results 1-20

All JobsGraph Strategy JobsGraph Strategy Jobs in Chicago, IL

Graph Strategy information

See Chicago, IL salary details

$57.2K

$128.5K

$224.2K

How much do graph strategy jobs pay per year?

As of Aug 25, 2026, the average yearly pay for graph strategy in Chicago, IL is $128,513.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,800.00 and $162,400.00 per year, depending on experience, location, and employer.

What is a graph strategy?

A Graph Strategy job typically involves working with graph databases or technologies to analyze and model complex relationships among data points. Professionals in this role develop strategies for leveraging graph structures to solve business problems, such as optimizing network connections, detecting fraud, or improving recommendation systems. They often collaborate with data scientists, engineers, and business stakeholders to design, implement, and maintain graph-based solutions. This job requires strong analytical skills, a deep understanding of graph theory, and experience with graph database technologies like Neo4j. The goal is to extract valuable insights from interconnected data to drive strategic decisions.

How does a graph strategy professional typically collaborate with data engineers and business analysts within an organization?

A Graph Strategy professional often acts as a bridge between technical teams (like data engineers) and business stakeholders (such as business analysts). They work closely with data engineers to design and optimize graph databases or knowledge graphs, ensuring that the underlying data structures support business needs. Simultaneously, they partner with business analysts to identify use cases, interpret data relationships, and translate business questions into graph queries or visualizations. This role requires both technical understanding and strong communication skills to align data assets with strategic business objectives.

What are the key skills and qualifications needed to thrive as a graph strategy professional, and why are they important?

To thrive as a Graph Strategy professional, you need a strong background in mathematics, data analysis, and graph theory, often supported by a degree in computer science, mathematics, or a related field. Familiarity with graph databases (e.g., Neo4j), data visualization tools, and relevant programming languages like Python or Cypher is typically required. Strategic thinking, problem-solving, and effective communication are essential soft skills for translating complex data insights into actionable business strategies. These skills enable professionals to leverage graph structures for advanced analytics, driving informed decisions and competitive advantage.

What is the difference between Graph Strategy vs Data Analyst?

AspectGraph StrategyData Analyst
Required CredentialsOften requires knowledge of data visualization, analytics tools, and strategic planningTypically requires a degree in statistics, mathematics, or related fields; proficiency in Excel, SQL, and data analysis software
Work EnvironmentStrategic planning sessions, data visualization projects, cross-department collaborationData collection, cleaning, analysis, reporting, and presenting insights
Employer & Industry UsageUsed in marketing, finance, and tech companies for strategic decision-makingCommon in business, finance, healthcare, and tech sectors for data-driven insights

While both roles involve working with data, Graph Strategy focuses on creating visual data representations to inform strategic decisions, whereas Data Analysts primarily analyze data sets to generate actionable insights. Understanding these differences helps organizations assign the right roles for their data needs.

What are popular job titles related to Graph Strategy jobs in Chicago, IL?

For Graph Strategy jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Graph Strategy jobs in Chicago, IL look for?

The top searched job categories for Graph Strategy jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Graph Strategy jobs?

Cities near Chicago, IL with the most Graph Strategy job openings:

Graph Strategy jobs near you
Infographic showing various Graph Strategy job openings in Chicago, IL as of August 2026, with employment types broken down into 53% Full Time, and 47% Part Time. Highlights an 100% In-person job distribution, with an average salary of $128,417 per year, or $61.7 per hour.

Senior Graph Developer

La Grange, IL • Hybrid

Long Finch Technologies
IT Services • 51 - 200 employees
Learn more about Long Finch Technologiesexternal

$53.25 - $70.25/hr

Full-time

Posted 11 days ago

Job description

We are seeking an experienced Senior Graph Developer to design, build, and scale enterprise-level graph database solutions. The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge graphs, optimizing graph database environments, and integrating graph technologies with Generative AI solutions to improve contextual understanding and reduce AI hallucinations.

Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Information Architecture, or a related technical field.
  • 10+ years of professional experience in software engineering, data engineering, or graph technology development.
  • Extensive hands-on experience designing, implementing, and managing production-scale Amazon Neptune graph database environments.
  • Strong expertise in graph query languages such as SPARQL and/or Gremlin.
  • Strong experience designing and developing data engineering and ETL pipelines.
  • Practical experience implementing GraphRAG solutions and integrating knowledge graphs with AI/ML workflows.
  • Advanced programming experience in Python or JVM-based languages such as Java or Scala.
  • Strong understanding of AWS cloud services, including:
    • Amazon Neptune
    • AWS S3
    • Amazon RDS
    • Amazon ECS
  • Experience designing enterprise ontologies, taxonomies, and graph schemas.
Preferred Qualifications
  • Experience with Generative AI integration and LLM-based applications.
  • Experience building backend APIs and services.
  • Experience integrating graph databases with vector databases and hybrid search architectures.
  • Strong understanding of knowledge graph modeling and semantic technologies.
  • Experience working with large-scale distributed systems.
Key Responsibilities
  • Design and develop enterprise ontologies, taxonomies, and graph schemas representing complex business domains.
  • Architect, configure, monitor, and scale Amazon Neptune environments capable of handling billions of relationships.
  • Develop and optimize graph data models, queries, and performance tuning strategies using SPARQL and/or Gremlin.
  • Build and maintain data ingestion frameworks and ETL pipelines for graph-based applications.
  • Integrate knowledge graphs into GraphRAG pipelines to improve AI response accuracy, contextual grounding, and reduce hallucinations.
  • Partner with AI/ML teams to implement hybrid search solutions combining graph traversal capabilities with vector database technologies.
  • Develop scalable backend services and APIs supporting graph-powered applications.
  • Collaborate with architecture, engineering, and business teams to translate complex requirements into scalable graph solutions.
  • Ensure reliability, security, and performance of graph database infrastructure.

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