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  1. Home/
  2. Salary/
  3. Knowledge Graph Engineer/
  4. Pittsburgh

Knowledge Graph Engineer.

Pittsburgh.

$156,000

median salary, 8% below the national average

$118,000 to $204,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

The median Knowledge Graph Engineer salary in Pittsburgh is $156,000, 8% below the national average. Entry level starts near $118,000. Experienced professionals push past $204,000. Pittsburgh has reinvented itself from a steel city into a hub for robotics, autonomous vehicles, and healthcare technology. That spread is your negotiation window.

Salary range

25th Percentile

$118,000

per year

Median

$156,000

per year

75th Percentile

$204,000

per year

Tap to place your salary

$118,000$204,000

How Pittsburgh compares

Pittsburgh, PA

$156,000

Cost of living: 8% below average

National Average

$170,000

Pittsburgh is $14,000 below

What you should know

If you are interviewing for Knowledge Graph Engineer roles in Pittsburgh, here is what you are walking into. Pittsburgh has reinvented itself from a steel city into a hub for robotics, autonomous vehicles, and healthcare technology. Carnegie Mellon University feeds a strong talent pipeline into AI and robotics companies. The city's low cost of living combined with world class research institutions makes it a hidden gem for technology professionals. 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. In Pittsburgh, cost of living sits near the national average, so the numbers you see are roughly what you keep.

Base salary is not the full picture. 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. And on the tax side: pennsylvania's flat 3.07% state tax is low, but Pittsburgh adds a local earned income tax of about 3%. Combined with the school district tax, local taxes require attention in negotiations. When someone quotes you $156,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Highlight robotics or AI specialization. Pittsburgh employers tied to CMU's research ecosystem pay nationally competitive salaries for candidates with advanced technical skills. The range for Knowledge Graph Engineers in Pittsburgh runs from $118,000 to $204,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.

Top industries in Pittsburgh

Robotics & AIHealthcareHigher EducationFinancial ServicesEnergy

Negotiating in Pittsburgh

Highlight robotics or AI specialization. Pittsburgh employers tied to CMU's research ecosystem pay nationally competitive salaries for candidates with advanced technical skills.

Common questions.

Retrieval-augmented generation has significantly increased demand for knowledge graph engineers, driving salaries up 15 to 25% since 2024. Engineers who can integrate knowledge graphs with LLM systems for improved factual accuracy are especially sought after by companies building enterprise AI products.

Knowledge graph engineers focus on ontology design, entity resolution, and semantic reasoning alongside graph infrastructure. This requires deeper AI and NLP knowledge than general graph database administration, resulting in salaries 12 to 20% higher than standard graph DBA or backend engineering roles.

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. In Pittsburgh, these factors can push compensation from the 25th percentile of $118,000 to the 75th percentile of $204,000 or beyond.

In 2026, the average Knowledge Graph Engineer salary in Pittsburgh, PA is $156,000. The 25th percentile sits at $118,000 and the 75th percentile reaches $204,000. Where you land depends on your experience, the company's size, and the specific skills you bring.

Remote work has compressed geographic salary premiums for Knowledge Graph Engineers. Some Pittsburgh employers offer location adjusted pay, while others maintain local rates to attract in office talent. In Pittsburgh's moderate cost market, remote and local salaries are converging. The $118,000 to $204,000 range reflects both arrangements.

Knowledge Graph Engineer salary in other cities

Austin$175,000
Atlanta$173,000
Boston$207,000
Chicago$182,000
Charlotte$165,000
Columbus$158,000

Other salaries in Pittsburgh

Software Engineer$124,000
Sales Development Representative$53,000
Senior Data Scientist (AI-Specialized)$170,000
Site Reliability Engineer$156,000

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