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Urgently Hiring Knowledge Graph Software Engineer Jobs

Squirro

Knowledge Graph Engineer

New York, NY

We are looking for a Knowledge Graph Engineer to join our team in the US, supporting the Delivery ... Experience in customer-facing roles within software or SaaS environments * Strong communication and ...

Squirro

Knowledge Graph Engineer

New York, NY · On-site

We are looking for a Knowledge Graph Engineer to join our team in the US, supporting the Delivery ... Experience in customer-facing roles within software or SaaS environments * Strong communication and ...

Squirro

Knowledge Graph Engineer

New York, NY · Remote

USD 100'000-150'000 We are looking for a Knowledge Graph Engineer to join our team in the US ... Experience in customer-facing roles within software or SaaS environments * Strong communication and ...

Point72

Data Engineer, Knowledge Graph

New York, NY

$125.30K - $150.40K/yr

Your strong track record of hiring and developing technical talent in specialized domains will be ... What's required * 3+ years of experience in knowledge graph engineering, graph database development ...

Point72

Data Engineer, Knowledge Graph

New York, NY · On-site

$125.30K - $150.40K/yr

Your strong track record of hiring and developing technical talent in specialized domains will be ... What's required * 3+ years of experience in knowledge graph engineering, graph database development ...

Dataminr

Principal Software Engineer, Knowledge Platform

OR · Remote

$134.90K - $180.80K/yr

The knowledge team builds and maintains our multi-million node knowledge graph, which powers Dataminr's real-time event detection and alerting platform. As a Principal Software Engineer, you will ...

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How much do urgently hiring knowledge graph software engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for urgently hiring knowledge graph software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What is the difference between Urgently Hiring Knowledge Graph Software Engineer vs Data Scientist?

AspectUrgently Hiring Knowledge Graph Software EngineerData Scientist
Required CredentialsBachelor's or higher in CS, experience with graph databasesBachelor's or higher in CS, statistics, or related field
Work EnvironmentSoftware development, graph database managementData analysis, modeling, statistical tools
Industry UsageTech, AI, knowledge managementFinance, healthcare, marketing
Search & Comparison IntentTechnical roles focusing on graph data structuresData analysis and predictive modeling

The main difference is that a Knowledge Graph Software Engineer focuses on developing and maintaining graph database systems and related software, while a Data Scientist emphasizes analyzing data, building models, and deriving insights. Both roles require technical skills but serve different functions within data-driven organizations.

What cities are hiring for Urgently Hiring Knowledge Graph Software Engineer jobs? Cities with the most Urgently Hiring Knowledge Graph Software Engineer job openings:
What are the most commonly searched types of Knowledge Graph Software Engineer jobs? The most popular types of Knowledge Graph Software Engineer jobs are:
What states have the most Urgently Hiring Knowledge Graph Software Engineer jobs? States with the most job openings for Urgently Hiring Knowledge Graph Software Engineer jobs include:
Urgently Hiring Knowledge Graph Software Engineer jobs near you

Knowledge Graph Engineer

Futran Tech Solutions Pvt. Ltd.

Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Description2 (knowledge graph engineer)
Remote
Responsibilities:
The ideal candidate will have expertise in designing, implementing, and optimizing graph databases, with a strong focus on utilizing Neo4j or other graph databases for knowledge graph applications. The role involves contributing to the development and maintenance of our data infrastructure, ensuring efficient handling of complex relationships.
  • Design and implement graph databases to efficiently store and retrieve high-dimensional data.
  • Utilize Neo4j for creating and managing knowledge graphs, ensuring optimal performance and scalability.
  • Develop and maintain knowledge graphs using Neo4j, incorporating domain-specific data and relationships.
  • Implement graph algorithms to extract meaningful insights from the knowledge graph.
  • Optimize database queries, finetune graphs, indexing strategies for graph operations.
  • Identify and resolve performance bottlenecks to ensure efficient data retrieval.
  • Collaborate with application developers to integrate graph databases, knowledge graphs into various software solutions.
  • Provide support for query optimization and data modeling for application-specific requirements.
  • Implement and maintain data security measures for graph databases and knowledge graphs.
  • Ensure compliance with relevant data protection regulations and industry standards.
  • Work closely with cross-functional teams, including data scientists, software engineers, and product managers.
  • Communicate technical concepts and solutions effectively to both technical and non-technical stakeholders.

Technical skills:
  • Understanding of graph data model paradigms (LPG, RDF) and graph languages (Gremlin & SparQL are optional), hands-on experience is required
  • Solid understanding of graph data modeling, graph schema development, graph data design.
  • Familiarity with machine learning and GenAI concepts related to graph data.
  • Experience with cloud-based database solutions and knowledge of distributed database systems.
  • Proven experience in designing and implementing graph databases, knowledge graph with a focus on Neo4j or other like Neptune/Cosmos/TigerGraph etc. for knowledge graph applications.
  • Strong proficiency in database optimization, performance tuning, and query languages.
  • Familiarity with graph algorithms and data modeling for knowledge graphs.
  • Experience with other relevant programming languages, such as Python, Java, or Scala.
  • Experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools (AWS Step Functions, Airflow, Luigi, Kubeflow, or equivalent).
  • Excellent problem-solving skills and the ability to work in a collaborative team environment.

Soft skills:
  • Strong work ethic and desire to produce quality results
  • Consistently and proactively communicates (verbally/written) to stakeholders (progress/roadblocks/etc.)
  • Continuous Improvement mindset and approach to work product
  • Ability to take complex subjects and simplify it to less technical individuals
  • Provides clear documentation of processes, workflows, recommendations, etc.
  • High level of critical thinking capabilities
  • Organized and has the ability to manage work effectively, escalating issues as appropriate
  • Takes initiative & is a self-starter
  • Displays ownership of their work (quality, timeliness)
  • Seeks to become an expert in their field and shares their expertise through recommendations, proactive communications/actions and peer sharing/coaching where relevant
  • Should be able to communicate with stakeholders directly and independently
  • Should have good problem solving skills

Candidate Profile:
  • 8+ years of experience working with data engineering with atleast 2-3 years of experience working on graph databases.
  • Bachelor's/Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply
  • Outstanding written and verbal communication skills
  • Superior analytical and problem solving skills
  • Experience in working in dual shore engagement is preferred
  • Must have experience in managing clients directly
  • Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work
  • Able to work in fast pace continuously evolving environment and ready to take up uphill challenges
  • Is able to understand cross cultural differences and can work with clients across the globe

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