Knowledge Graph Engineer Resume Example
Example by JobSproutFree to use. No download fee.
Market Insights
Knowledge Graph Engineer
Salary Range
Salary Trend
12-Month Trend
Based on advertised Software Engineering roles.
US market data · Source: Adzuna · Updated Mar 2026
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Knowledge Graph Engineer resume samples
Three complete resumes, each in a different design.
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What makes a strong Knowledge Graph Engineer resume?
US median salary $180,146 ·
For a mid-level Knowledge Graph Engineer resume, hiring managers prioritize practical experience in semantic data modeling and graph database implementation. They seek evidence of designing robust ontologies using RDF, OWL, or SHACL, and applying these frameworks to complex enterprise data challenges. Achievements should demonstrate quantifiable impact, such as reducing data integration complexity or improving query performance through optimized graph structures. Specific mentions of expertise with platforms like Neo4j, AWS Neptune, or GraphDB, alongside proficiency in SPARQL or Cypher, are crucial indicators of a candidate's readiness for intricate graph projects.
Why this example works
The JobSprout example effectively showcases these key elements. Its achievement bullets quantify contributions, for instance, detailing how a candidate “architected an enterprise knowledge graph, unifying 15 disparate datasets and improving data retrieval speed by 40%.” Technical skills are clearly segmented into categories like “Graph Technologies” (Neo4j, ArangoDB, SPARQL), “Semantic Web Standards” (RDF, OWL, SHACL), and “Programming Languages,” preventing information overload. Critical certifications, perhaps in Neo4j or cloud-specific graph services, are prominently displayed, assuring recruiters of foundational knowledge and practical application.
Knowledge Graph Engineer resume example (text version)
Mei Zhang · Knowledge Graph Engineer
Summary
Highly accomplished Knowledge Graph Engineer with 6 years of experience designing, developing, and deploying robust semantic knowledge systems. Proficient in ontology modeling, SPARQL, graph databases, and integrating AI/ML techniques to extract actionable insights. Proven track record of enhancing data discoverability, improving search relevance, and driving significant business value through innovative graph solutions.
Experience
Senior Knowledge Graph Engineer · Google
Mountain View, CA · 2022 - Present
- Architected and implemented a new entity resolution pipeline using machine learning, reducing data duplication by 15% across Google's internal knowledge base.
- Developed and managed critical ontological schemas for product categorization, improving search result precision by 10% for e-commerce queries.
- Led a team of 3 engineers in migrating a legacy relational database to a triple store, increasing query performance by 25% for complex analytical queries.
- Designed and deployed a GraphQL API layer for accessing knowledge graph data, facilitating rapid application development and adoption by 5 internal teams.
Knowledge Graph Engineer · Meta Platforms
Menlo Park, CA · 2019 - 2022
- Contributed to the development of Meta's internal knowledge graph for user interests, enhancing ad targeting accuracy by 8% for key demographics.
- Implemented SPARQL endpoints and data validation rules for over 50 interconnected datasets, ensuring data integrity and consistency for downstream applications.
- Developed custom graph algorithms in Python for community detection and relationship inference, uncovering 20% more implicit connections within user data.
- Collaborated with data scientists to integrate knowledge graph features into recommendation systems, leading to a 5% increase in content engagement.
Education
M.S. in Computer Science, Artificial Intelligence Specialization · Stanford University
Stanford, CA · 2017 - 2019
- GPA: 3.9/4.0
- Thesis: 'Semantic Enrichment of Text Data for Knowledge Graph Construction'
- Awarded Stanford AI Lab Fellowship for research on neural-symbolic systems.
B.S. in Computer Science · University of California, Berkeley
Berkeley, CA · 2013 - 2017
- Graduated Summa Cum Laude, GPA: 3.85/4.0
- Published undergraduate research on graph-based recommender systems in ACM SIGIR student track.
- Recipient of the Departmental Citation for outstanding academic achievement.
Skills
Knowledge Graph Engineer resume example: Knowledge Graph & Semantic
Daniel Kim · Knowledge Graph Engineer
Summary
Highly skilled Knowledge Graph Engineer with 6 years of experience in designing, developing, and implementing robust semantic data solutions for complex enterprise environments. Specializing in leveraging ontology engineering, RDF/OWL, and graph databases to facilitate data integration, enhance data discoverability, and establish comprehensive data governance frameworks. Proven ability to translate intricate business requirements into scalable and maintainable knowledge graph architectures, driving significant improvements in data quality and operational efficiency.
Experience
Senior Knowledge Graph Engineer · DataFlow Innovations
New York, NY · 2021 - Present
- Designed and implemented a semantic knowledge graph using Stardog and SHACL, integrating over 15 disparate financial data sources, reducing data reconciliation efforts by 30%.
- Developed Python-based ETL pipelines to ingest and transform complex unstructured financial reports into RDF triples, improving data accessibility for analysts by 40%.
- Led the development of a company-wide ontology for financial instruments and market data, achieving a 25% faster onboarding process for new data feeds.
- Collaborated with data governance teams to establish data lineage and quality rules within the knowledge graph, resulting in a 15% reduction in reported data quality issues.
Knowledge Graph Engineer · Stratagem Financial
New York, NY · 2018 - 2021
- Developed and maintained RDF/OWL ontologies to model proprietary investment data, supporting 5 key internal applications and over 500 users.
- Implemented SPARQL endpoints for complex data querying, enabling business analysts to retrieve interconnected data 2x faster than traditional SQL methods.
- Created automated data validation routines using custom SHACL rules, reducing manual data error checks by 50% and improving data integrity across platforms.
- Contributed to the design and deployment of a Neo4j graph database for client relationship management, enhancing client segmentation and reporting capabilities.
Junior Data Engineer · Insightful Data Corp.
New York, NY · 2017 - 2018
- Built and optimized SQL queries and stored procedures for data extraction, transformation, and loading (ETL) processes, improving data warehouse refresh times by 20%.
- Assisted in the development of data pipelines using Apache Airflow and Python for various client projects, handling datasets up to 1TB.
- Developed data quality checks and monitoring dashboards using Tableau to ensure accuracy and completeness of ingested data.
- Supported senior engineers in migrating legacy data systems to cloud-based solutions (AWS S3, RDS), reducing operational costs by 10%.
Education
Master of Science in Data Science · New York University
New York, NY · 2015 - 2017
- Specialization in Semantic Web and Knowledge Representation
- Relevant Coursework: Advanced Database Systems, Machine Learning, Natural Language Processing
- GPA: 3.8/4.0
Bachelor of Science in Computer Science · Stony Brook University
Stony Brook, NY · 2011 - 2015
- Graduated Cum Laude
- Awarded Dean's List for 6 semesters
- Developed a semantic search engine prototype for academic papers as capstone project
Skills
Knowledge Graph Engineer resume example: Career Changer
Isabel Santos · Knowledge Graph Engineer
Summary
Results-driven Knowledge Graph Engineer with 6+ years of experience, transitioning from robust data analysis to semantic knowledge systems. Adept at leveraging deep insights from relational data modeling to design and implement highly scalable and interconnected knowledge graphs. Proven ability to translate complex business requirements into actionable graph solutions, enhancing data discoverability and driving significant organizational value.
Experience
Knowledge Graph Engineer · Indeed
Austin, TX · 2022 - Present
- Designed and implemented a job skills knowledge graph using Neo4j and OWL, improving job matching accuracy by 18% for key roles.
- Developed ETL pipelines using Apache Spark and Python to integrate disparate data sources (CSV, JSON, RDBMS) into the graph, processing over 1TB of data monthly.
- Optimized SPARQL query performance by 25% through indexing strategies and schema refinements, reducing latency for critical downstream applications.
- Collaborated with ML engineers to embed graph features into recommender systems, leading to a 10% increase in relevant job recommendations.
Semantic Engineer · IBM
Austin, TX · 2020 - 2022
- Modeled and managed ontologies for enterprise-wide data governance initiatives using Protégé and SHACL, supporting compliance for 5+ regulatory standards.
- Developed custom RDF loaders and exporters for large datasets, facilitating data exchange with external partners and reducing manual data preparation by 30%.
- Implemented graph database solutions (e.g., GraphDB) for client projects, enabling faster querying and discovery of interconnected data assets.
- Provided technical mentorship to junior developers on semantic web technologies and best practices in knowledge representation.
Data Analyst · Dell Technologies
Austin, TX · 2018 - 2019
- Performed in-depth analysis of customer behavior and product performance using SQL and Python, identifying key trends that informed product strategy for 3 major lines.
- Developed interactive dashboards and reports in Tableau, enabling stakeholders to monitor KPIs and track project progress, reducing reporting time by 15 hours per week.
- Extracted, transformed, and loaded (ETL) data from various sources into a centralized data warehouse, ensuring data quality and consistency for over 20 analytical reports.
- Collaborated with engineering teams to define data requirements for new product features, improving data capture efficiency by 20%.
Education
Master of Science in Information Studies (Data Science Specialization) · University of Texas at Austin
Austin, TX · 2019 - 2021
- Thesis: 'Semantic Enrichment of Financial Data for Fraud Detection using Knowledge Graphs'
- Coursework included: Knowledge Representation, Database Management, Machine Learning, Information Retrieval
- GPA: 3.9/4.0
Bachelor of Science in Computer Science · Texas A&M University
College Station, TX · 2014 - 2018
- Graduated Cum Laude
- Awards: Dean's List (6 semesters)
- Relevant coursework: Data Structures, Algorithms, Discrete Mathematics, Artificial Intelligence
Skills
How useful was this template?
Example by JobSproutKnowledge Graph Engineer resume summary example
Highly accomplished Knowledge Graph Engineer with 6 years of experience designing, developing, and deploying robust semantic knowledge systems. Proficient in ontology modeling, SPARQL, graph databases, and integrating AI/ML techniques to extract actionable insights. Proven track record of enhancing data discoverability, improving search relevance, and driving significant business value through innovative graph solutions.
Knowledge Graph Engineer salary by country
| Country | 25th percentile | Median | 75th percentile |
|---|---|---|---|
| US | $160,073 | $180,146 | $200,219 |
| UK | £46,059 | £60,012 | £72,658 |
| Canada | C$86,152 | C$113,871 | C$140,800 |
| Australia | A$101,935 | A$126,667 | A$147,857 |
| Germany | €59,500 | €70,570 | €77,887 |
| France | €37,875 | €44,167 | €49,750 |
| Netherlands | €55,000 | €66,667 | €74,250 |
| Italy | €25,000 | €31,250 | €38,750 |
| Austria | €46,250 | €58,750 | €67,500 |
| New Zealand | NZ$102,500 | NZ$120,000 | NZ$162,500 |
| India | ₹2,629,167 | ₹3,258,333 | ₹3,887,500 |
| Poland | zł186,440 | zł209,338 | zł232,236 |
Annual salaries in local currency, aggregated from live job postings via Adzuna. Figures refresh continuously and reflect advertised pay, not negotiated offers.
Knowledge Graph Engineer resume skills and keywords
Recruiters and applicant tracking systems scan Knowledge Graph Engineer resumes for these skills and keywords. Include the ones that match your experience and mirror the wording in the job description. Check your resume against them with the free ATS checker.
Hard skills
Tools & software
Certifications
Soft skills
Market Insights
Knowledge Graph Engineer
Salary Range
Salary Trend
12-Month Trend
Based on advertised Software Engineering roles.
US market data · Source: Adzuna · Updated Mar 2026
Frequently Asked Questions
What's the best resume structure for a mid-level Knowledge Graph Engineer with 3-7 years of experience?
What key skills and qualifications should I highlight as a Knowledge Graph Engineer?
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Which optional sections, like certifications or a portfolio, are important for a Knowledge Graph Engineer?
How do I tailor my resume for a specific Knowledge Graph Engineer job posting?
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