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Knowledge Graph Software Engineer Jobs (NOW HIRING)

What we're looking for * 4+ years of data engineering, graph, semantic modeling, or backend engineering experience. * Experience with graph databases, ontologies, entity resolution, or metadata ...

Graph Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

The graph data engineer is responsible for developing and enhancing Jefferies knowledge graph to empower several applications in the firm. You will work in close collaboration with software engineers ...

$150 - $210/hr

Consultant Machine Learning & Knowledge Graph Engineer Data Science is all about breaking new ... Strong software engineering background with hands‑on experience in AI frameworks, cloud ...

Graph Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

The graph data engineer is responsible for developing and enhancing Jefferies knowledge graph to empower several applications in the firm. You will work in close collaboration with software engineers ...

Showing results 21-40

Knowledge Graph Software Engineer information

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$63.5K

$147.5K

$205.5K

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

As of Sep 7, 2026, the average yearly pay for 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 a knowledge graph software engineer?

A Knowledge Graph Software Engineer designs, builds, and maintains knowledge graphs—structured representations of data that encode relationships between entities. They work with graph databases, ontologies, and data integration techniques to enable intelligent data retrieval and analysis. Their role often involves writing algorithms, implementing ontology-based reasoning, and optimizing graph queries. These engineers collaborate with data scientists, machine learning experts, and domain specialists to enhance data interoperability and usability.

What are the typical day-to-day responsibilities of a knowledge graph software engineer?

As a Knowledge Graph Software Engineer, your daily responsibilities often include designing and implementing data models, developing and optimizing graph database queries, and integrating diverse data sources into a unified knowledge graph. You’ll collaborate closely with data scientists, product managers, and other engineers to translate business needs into effective graph-based solutions. Additional tasks may involve maintaining existing graph systems, developing tools for data ingestion and quality assurance, and staying updated on the latest graph technologies and best practices. Working in agile, multidisciplinary teams is common, offering opportunities to contribute to both technical architecture and strategic decision-making.

What are the key skills and qualifications needed to thrive in the knowledge graph software engineer position, and why are they important?

To thrive as a Knowledge Graph Software Engineer, you need strong expertise in data modeling, graph databases (such as Neo4j or Amazon Neptune), semantic web technologies, and proficiency in languages like Python, Java, or Scala, often supported by a degree in computer science or a related field. Experience with RDF, SPARQL, ontologies, and tools like Protégé or GraphQL is commonly required, and advanced certifications in data engineering can be beneficial. Excellent analytical thinking, problem-solving ability, and collaboration skills help you work effectively with cross-functional teams and translate business requirements into robust graph solutions. These combined technical and interpersonal skills are crucial for building scalable, meaningful knowledge graphs that drive intelligent data-driven applications.

More about Knowledge Graph Software Engineer jobs

What are the most commonly searched types of Knowledge Graph Software Engineer jobs?

The most popular types of Knowledge Graph Software Engineer jobs are:

Infographic showing various Knowledge Graph Software Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.

Data Engineer - Knowledge Graph

Point72 Asset Management, L.P

Manhattan, NY • On-site

$200 - $300/hr

Other

Retirement

Posted 5 days ago


Key responsibilities

  • Design and implement a comprehensive financial knowledge graph architecture with sophisticated data models.

  • Create robust graph processing pipelines for data ingestion, transformation, knowledge extraction, and advanced analytics.

  • Define and implement best practices for knowledge graph development, implementation, and maintenance across the organization.


Job description

A Career with Point72’s Market Intelligence Team

On our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within.

What you’ll do

As a Data Engineer, you will help leverage knowledge graphs that connect companies, industries, and insights about the broader economy. This role begins as an individual contributor position with clear paths to expand your technical leadership as the platform grows. Specifically, you will:

  • Design and implement a comprehensive financial knowledge graph architecture with sophisticated data models that capture complex financial relationships.
  • Create robust graph processing pipelines for data ingestion, transformation, knowledge extraction, and advanced analytics capabilities.
  • Define and implement best practices for knowledge graph development, implementation, and maintenance across the organization.
  • Champion the adoption of graph-based solutions across Market Intelligence.
What’s excites you
  • You are passionate about designing data models that represent sophisticated financial relationships and dependencies. You find satisfaction in transforming disparate data sources into a unified, interconnected knowledge graph and implementing graph algorithms to uncover hidden patterns and relationships in financial data.
  • You excel at navigating organizational change management and driving adoption of new technologies across diverse teams. You are energized by working with stakeholders and productive collaboration that advances technical initiatives.
  • You are motivated by fast-paced environments that require adaptability and strategic problem-solving skills.
  • You are driven by creating graph-based solutions that help enhance investment decision-making processes.
What excites us
  • We value your proven ability to build and lead engineering teams through complex technical implementations. Your strong track record of hiring and developing technical talent in specialized domains will be essential as we grow our knowledge graph capabilities.
  • We are looking for deep expertise in graph data modeling and ontology design specifically for financial applications. Your hands-on experience with graph databases (Neo4j, TigerGraph, Amazon Neptune, etc.) and strong coding skills focused on developing graph-based applications and algorithms will drive our technical success.
  • We value interpersonal skills and a willingness to collaborate with stakeholders to achieve technical and business objectives.
  • We appreciate your demonstrated success in mentoring engineers and helping them grow into graph specialists.
  • We seek candidates with a methodical approach to solving complex data modeling and integration challenges. We value people who "elevate the room" through their work ethic, curiosity, and solution-oriented attitude, inspiring those around them to achieve more.
What’s required
  • Proven experience leading technical teams and mentoring engineers to develop technical talent.
  • Strong expertise in graph data modeling, ontology design, and semantic technologies.
  • Hands-on experience with at least one major graph database technology.
  • Advanced programming skills in Python or another high-level language.
  • Experience with data integration from diverse sources into unified knowledge graphs.
  • Track record of successfully implementing change management for technical initiatives.
  • Demonstrated ability to work effectively with challenging stakeholders.
  • Experience hiring and building specialized technical teams.
  • Commitment to the highest ethical standards.
We take care of our people

We invest in our people, their careers, their health, and their well‑being. When you work here, we provide:

  • Fully‑paid health care benefits
  • Generous parental and family leave policies
  • Volunteer opportunities
  • Support for employee-led affinity groups representing women, people of color and the LGBT+ community
  • Mental and physical wellness programs
  • Tuition assistance
  • A 401(k) savings program with an employer match and more
About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com/.

The annual base salary range for this role is $200,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

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