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Job Title: Ontology Engineer Location: Remote Who We Are NWEA® is a division of HMH that supports students and educators through research, assessment solutions, policy and advocacy services, professional learning and school improvement services that fight for equity, drive classroom impact and push for systemic change in our educational communities. For nearly 50 years, NWEA has developed innovative pre-K–12 assessments, including their flagship interim assessment, MAP® Growth™ and their reading fluency and comprehension assessment, MAP® Reading Fluency™. For more information, visit NWEA.org to learn more. What You’ll Do The Ontology Engineer plays a pivotal role in shaping our organization's knowledge structure. They are responsible for developing and managing ontologies that underpin our information systems, facilitating better data organization and knowledge discovery. Responsibilities Develops and maintains logical, semantically rich, and extensible ontologies that define and structure knowledge and underpin the K-12 education domain and HMH products. Supports integration between the ontology management system and source data management repositories, including triple store development and investigation by writing SPARQL queries against RDF, OWL or validating with SHACL. Ensures the accuracy and consistency of ontological structures by performing regular quality checks and updates as needed. Collaborates with cross-functional teams to understand their information needs and provide ontological solutions that support their objectives. Creates comprehensive documentation for ontologies and knowledge graphs, making them accessible to both technical and non-technical stakeholders. Coordinates with the Data engineering and operations, and content development teams to ensure the knowledge representation is aligned with enterprise data systems. What You’ll Need Advanced degree in philosophy, computer science, information science, or quantitative field, or equivalent experience. 2+ years of relevant work experience Proficiency in ontology modeling languages such as RDF, OWL, or SHACL and vocabularies such as SKOS. Demonstrate advanced knowledge of ontology modeling languages such as RDF, OWL, or SHACL, and vocabularies like SKOS. Familiarity with query languages like SQL and SPARQL or other property graph query languages like Gremlin, openCypher. Experience with semantic data integration and using graph databases/triplestores, including modeling tradeoffs, query optimization, and operational considerations for production use. Experience with ontologies, knowledge graphs, and/or semantic technologies such as Stardog, Protégé, Semaphore, PoolParty, or related ontology management systems. Experience using foundational/top-level ontologies, especially Basic Formal Ontology (BFO), Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE), Common Core Ontologies, or OBO Foundry. Experience integrating multiple disparate data sets into a common vocabulary and writing effective queries for use in a production environment. Be skilled in integrating multiple disparate data sets into a common vocabulary and writing effective queries for production environments. Hands-on experience with high-level programming and scripting languages, such as Python, R, and Java. Strong software engineering practices applied to semantic and analytics assets: git, pull requests/code review, test/validation practices (e.g., SHACL/dbt tests where applicable), and CI/CD-aware release discipline. Excellent problem-solving skills and easily adapt to new technologies, trends, and frameworks. Physical Requirement Might be in a stationary position for a considerable time (sitting and/or standing). Constantly operates computer. Must be able to collaborate with colleagues via conference calls and online meetings. Salary range: 100k – 115k annually. Application Deadline: The application window for this position is anticipated to close August 21, 2026 . We encourage you to apply as soon as possible. The posting may be available after this date but is not guaranteed. HMH is fully committed to Equal Employment Opportunity and to attracting, retaining, developing and promoting the most qualified employees without regard to race, gender, color, religion, sexual orientation, family status, marital status, pregnancy, gender identity, ethnic/national origin, ancestry, age, disability, military status, genetic predisposition, citizenship status, status as a disabled veteran, recently separated veteran, Armed Forces service medal veteran, other covered veteran, or any other characteristic protected by federal, state or local law. We are dedicated to providing a work environment free from discrimination and harassment, and where employees are treated with respect and dignity. We actively participate in E-Verify. #LI-HW1
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.