2

Remote Knowledge Graph Software Engineer Jobs in Mankato, MN

Sr. IT Analyst

New Ulm, MN · Remote

$40 - $76/hr

... software or data engineering, with a focus on machine learning production environments. * Strong proficiency in Python and familiarity with SQL; knowledge of a compiled language is a plus. * Hands-on ...

Solid working knowledge of personal computers, Microsoft Office Suite, Google Earth, ArcGIS and ... Ability to work in remote locations for long periods of time; * Excellent interpersonal skills and ...

Solid working knowledge of personal computers, Microsoft Office Suite, Google Earth, ArcGIS and ... Ability to work in remote locations for long periods of time; * Excellent interpersonal skills and ...

Remote Knowledge Graph Software Engineer information

See Mankato, MN salary details

$62.9K

$146.2K

$203.7K

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

As of Jul 14, 2026, the average yearly pay for remote knowledge graph software engineer in Mankato, MN is $146,239.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,000.00 and $171,500.00 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.
What are popular job titles related to Remote Knowledge Graph Software Engineer jobs in Mankato, MN? For Remote Knowledge Graph Software Engineer jobs in Mankato, MN, the most frequently searched job titles are:
Sr. IT Analyst

$40 - $76/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 7 days ago


Job description

Join our team as a Sr. IT Analyst and play a pivotal role in advancing healthcare solutions through cutting-edge technology and data science. Your expertise will help shape the future of healthcare by integrating innovative machine learning models into clinical applications.

Responsibilities
  • Develop and manage CI/CD pipelines to ensure seamless machine learning model deployment and automated testing.
  • Deploy machine learning models as scalable APIs and microservices, ensuring they meet clinical performance standards.
  • Implement monitoring tools to track model performance and system health in production environments.
  • Design and optimize ETL processes to transform healthcare data into actionable datasets for model training.
  • Collaborate with backend teams to integrate machine learning outputs into core healthcare applications.
  • Write clean, maintainable code and engage in code reviews to uphold system reliability.
  • Utilize containerization tools to securely manage ML workloads across various environments.
Skills
  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering, or a related field.
  • 3-5 years of professional experience in software or data engineering, with a focus on machine learning production environments.
  • Strong proficiency in Python and familiarity with SQL; knowledge of a compiled language is a plus.
  • Hands-on experience with major cloud providers and containerization technologies.
Preferred Skills
  • Experience with ML libraries and MLOps tools.
  • Familiarity with data processing frameworks and deploying Large Language Models.
  • Understanding of API design and microservices architecture.

At Horizontal, we are committed to fostering an inclusive environment where diverse backgrounds and perspectives are valued. We encourage individuals from all walks of life to apply and contribute to our mission of improving healthcare through technology.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.


Please apply through this online posting or by visiting our Job Board at www.horizontaltalent.com/job-board. Applications will be accepted for 4 weeks. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $40 - $76 per hour based on qualifications and experience.