2

Remote Graph Database Jobs in Philadelphia, PA (NOW HIRING)

NoSQL) as well as other database types (e.g. Graph). * Strong skills in analysis, problem-solving ... Proven record leading improvement initiatives with multi-disciplinary and remote partners.

NoSQL) as well as other database types (e.g. Graph). * Strong skills in analysis, problem-solving ... Proven record leading improvement initiatives with multi-disciplinary and remote partners.

next page

Showing results 1-20

Remote Graph Database information

See Philadelphia, PA salary details

$26

$53

$81

How much do remote graph database jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for remote graph database in Philadelphia, PA is $53.60, according to ZipRecruiter salary data. Most workers in this role earn between $43.89 and $60.62 per hour, depending on experience, location, and employer.

What is the difference between Remote Graph Database vs Remote Data Analyst?

AspectRemote Graph DatabaseRemote Data Analyst
Required CredentialsKnowledge of graph database systems, certifications like GraphDB or Neo4j certificationsDegree in Data Science, Statistics, or related fields; certifications like Microsoft Data Analyst or Tableau
Work EnvironmentPrimarily working with database management systems, query languages like Cypher, and data modelingAnalyzing datasets, creating reports, using tools like Excel, SQL, Tableau
Employer & Industry UsageTech companies, data-driven organizations, database service providersBusiness intelligence firms, marketing agencies, finance sectors
Search & Comparison IntentUnderstanding technical roles in database managementComparing data analysis roles and skills

Remote Graph Database specialists focus on managing and querying graph databases using specific tools and certifications, while Remote Data Analysts interpret data to provide insights using analytical tools. Both roles are essential in data-driven industries but differ in technical focus and daily tasks.

What are popular job titles related to Remote Graph Database jobs in Philadelphia, PA? For Remote Graph Database jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Remote Graph Database jobs in Philadelphia, PA look for? The top searched job categories for Remote Graph Database jobs in Philadelphia, PA are:
Infographic showing various Remote Graph Database job openings in Philadelphia, PA as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $111,493 per year, or $53.6 per hour.

Enterprise Solutions Graph Database

H R PUNDITS INC

Collegeville, PA โ€ข On-site, Remote

Full-time

Posted 15 days ago


Job description

Job title : Enterprise Solutions Graph Database/ Architect
Location: Upper Providence Township, PA
(Onsite/Remote )
Experience : 15 Years
Role Overview
Seeking a seasoned Graph Database
Knowledge Graph Expert to perform a comprehensive study of our existing platform. Evaluate our current architecture, data ontology, and query performance to provide a strategic roadmap. The goal is to evolve our Knowledge Graph into a robust, scalable engine that accelerates different Pharma areas ( drug discovery, clinical insights, and cross-departmental data democratization)
Required Qualifications
Graph Expertise: 10+ years of experience with Graph Databases. Deep proficiency in LPG (Labeled Property Graphs) or RDF/Triple Stores.
Pharma Domain Knowledge: Proven experience handling biomedical data types (e.g., Gene-Disease associations, Chemical compounds, Patient journeys).
Semantic Web Standards: Strong understanding of Linked Data principles, URI strategies, and ontology modeling.
Data Engineering: Experience with ETL/ELT pipelines that feed graphs from unstructured (PDF publications) and structured (EDC, LIMS) sources.
Advanced Analytics: Experience implementing Graph Data Science algorithms (centrality, community detection) or integrating Graphs with Machine Learning.
Technical Stack Preferences
Graph DBs: AnzoGraph, Neo4j, Stardog,
Languages: Python, Java, SPARQL, Cypher, or Gremlin.
Bio-Ontologies: Familiarity with OBO Foundry, ChEMBL, or Ensembl.