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Remote Knowledge Graph Software Engineer Jobs (NOW HIRING)

Software Engineer

New York, NY · On-site +1

$220K - $230K/yr

Any amount of experience utilizing graph theory to create interactive data visualization user ... Remote working is permitted on occasion but office attendance is expected. Salary range: $220,000 ...

AI ML Software Engineer

Annapolis, MD · On-site +1

$113K - $136K/yr

Remote (U.S.-based) with occasional onsite requirements Duration: Long-term engagement (up to 5 ... knowledge retrieval with permission-based indexing * Deep research capabilities using graph-based ...

Software Engineer III - Applied AI

Seattle, WA · On-site +1

$65.50 - $88/hr

We are seeking a skilled and self-directed Software Engineer III - Applied AI to join our ... Knowledge graph or graph database experience (Neo4j, Amazon Neptune) * AWS certification (Solutions ...

Familiarity with databases such as PostgreSQL, MongoDB, or graph databases. * Knowledge of ... Remote

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Remote Knowledge Graph Software Engineer information

See salary details

$63.5K

$147.5K

$205.5K

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

As of Jun 22, 2026, the average yearly pay for remote 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 are the key skills and qualifications needed to thrive as a Remote Knowledge Graph Software Engineer, and why are they important?

To thrive as a Remote Knowledge Graph Software Engineer, you need expertise in graph data modeling, proficiency in programming languages such as Python or Java, and a solid understanding of semantic web technologies, often backed by a degree in computer science or a related field. Familiarity with graph databases like Neo4j or Amazon Neptune, query languages such as SPARQL or Cypher, and experience with knowledge representation frameworks are typically required. Strong problem-solving abilities, effective remote communication, and self-motivation are crucial soft skills for this role. These skills ensure the engineer can design, implement, and maintain complex knowledge graph systems, enabling intelligent data connections and supporting scalable, collaborative remote work environments.

How does a Remote Knowledge Graph Software Engineer typically collaborate with cross-functional teams given the distributed work environment?

As a Remote Knowledge Graph Software Engineer, collaboration often happens through virtual meetings, code repositories, and shared documentation platforms. You’ll regularly interact with data scientists, product managers, and other engineers to design and implement scalable graph-based solutions. Clear communication and proactive sharing of updates are essential, as team members may be spread across multiple time zones. Utilizing tools like Slack, Jira, and GitHub, remote engineers ensure alignment on project goals, resolve blockers quickly, and contribute to a cohesive team culture.

What is a Remote Knowledge Graph Software Engineer?

A Remote Knowledge Graph Software Engineer is a software developer who specializes in designing, building, and maintaining knowledge graph systems while working from a remote location. Knowledge graphs are structured representations of data that help in connecting and analyzing information through relationships and semantics. These engineers use technologies like RDF, SPARQL, and graph databases to enable advanced data querying and integration. They often collaborate with data scientists, analysts, and other engineers to solve complex data challenges across various industries. Working remotely allows them to contribute from anywhere, using communication and collaboration tools to stay connected with their teams.
More about Remote Knowledge Graph Software Engineer jobs
What cities are hiring for Remote Knowledge Graph Software Engineer jobs? Cities with the most Remote 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 Remote Knowledge Graph Software Engineer jobs? States with the most job openings for Remote Knowledge Graph Software Engineer jobs include:
What job categories do people searching Remote Knowledge Graph Software Engineer jobs look for? The top searched job categories for Remote Knowledge Graph Software Engineer jobs are:
Infographic showing various Remote Knowledge Graph Software Engineer job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.
Software Engineer

Software Engineer

Aquatic Capital Management

New York, NY • On-site, Remote

$220K - $230K/yr

Other

Posted 13 days ago


Job description

Software Engineer

New York

Responsibilities: Build production trading systems and create automated infrastructure to accelerate delivery of new models to live trading; develop and manage high quality, robust and efficient data and model pipelines; build tools to bring models to live trading efficiently and in an automated, reproducible fashion; improve capabilities, performance, reliability, scalability and throughput of trading systems.

Requirements: 

  • Bachelor's degree in Computer Science, Computer Engineering or related field
  • 3 years of related experience
  • Any amount of experience building and maintaining low-latency, high-performance infrastructure and systems responsible for executing trades and ingesting data from 10,000+ sources daily
  • Any amount of experience building framework that runs, tests and deploys quantitative strategies
  • Any amount of experience utilizing graph theory to create interactive data visualization user interfaces for analyzing computational task graphs as directed acyclic graphs
  • Any amount of experience developing time series data classification systems including feature engineering techniques and machine learning algorithms

Must live within normal commuting distance of worksite.  Remote working is permitted on occasion but office attendance is expected. 

Salary range:  $220,000 to $230,000