Knowledge Graph Engineer Salary.
Across 30 U.S. cities.
$170,000
national median salary
$128,000 to $222,000. Last updated April 2026.
Highest Paying
$232,000
San Jose, CA
Best Purchasing Power
$177,000
Austin, TX
Lowest Paying
$153,000
St. Louis, MO
Salary data sourced from SEC filings, H-1B Labor Condition Applications (DOL), Bureau of Labor Statistics Occupational Employment and Wage Statistics, and aggregated job postings across 50+ platforms. Ranges reflect 25th to 75th percentile for full-time positions. Cost-of-living adjustments use Bureau of Economic Analysis Regional Price Parities (2025 index). Last updated April 2026.
The average Knowledge Graph Engineer salary in the United States is $170,000 in 2026, with the full range spanning $128,000 at the 25th percentile to $222,000 at the 75th. San Jose pays the most at $232,000, while Austin offers the best purchasing power after cost-of-living adjustments. Knowledge graph engineers combine graph database expertise with AI integration skills, a specialization that commands premium pay.
Knowledge Graph Engineer salary by city
What you should know
Knowledge graph engineers combine graph database expertise with AI integration skills, a specialization that commands premium pay. Experience with enterprise knowledge graphs at scale using Neo4j, Amazon Neptune, or custom solutions drives salary above standard backend engineering. Pharmaceutical and fintech sectors pay the highest rates for this role.
Junior knowledge graph engineers earn $128,000 to $152,000. Engineers with 3 to 5 years of specialized experience reach $170,000 to $222,000. Senior engineers and graph platform leads earn $228,000 to $300,000, while principal engineers and directors of knowledge systems can command $310,000 to $400,000.
Tech companies offer equity worth 18 to 30% of base salary. Annual bonuses range from 10 to 18%. Enterprise software companies may offer customer success bonuses tied to knowledge graph deployment milestones worth $8,000 to $20,000 annually.