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Senior Specialist Graph Database Jobs (NOW HIRING)

Point72

Data Engineer, Knowledge Graph

New York, NY

$125K - $150K/yr

Your hands-on experience with graph databases (Neo4j, TigerGraph, Amazon Neptune, etc.) and strong ... specialists. * We seek candidates with a methodical approach to solving complex data modeling and ...

Point72

Data Engineer, Knowledge Graph

New York, NY · On-site

$125K - $150K/yr

Your hands-on experience with graph databases (Neo4j, TigerGraph, Amazon Neptune, etc.) and strong ... specialists. * We seek candidates with a methodical approach to solving complex data modeling and ...

Wise Skulls

Senior Neo4j Developer

Sunnyvale, CA · On-site

$65 - $85.75/hr

Senior Neo4j Developer Location: Sunnyvale, CA (Hybrid) Duration: 6 months (possibility of ... Strong hands-on experience with Neo4j and Neo4j Graph Database. * Experience in designing and ...

SkilzMatrix Digital

Data engineer

Pittsburgh, PA

$107K - $128K/yr

... skilled Senior Data Engineer with deep expertise in Neo4j and graph technologies to join our ... Graph Modeling & Architecture: Design, implement, and maintain highly scalable Neo4j graph database ...

Tror AI for everyone

Senior AI Developer

Mettawa, IL · On-site

$62.50 - $82.50/hr

Senior AI Developer Location: Mettawa, IL (Onsite) Design, build, and deploy cutting-edge AI ... Graph Database Expertise: Strong hands-on experience with graph databases, especially Neo4j ...

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Senior Specialist Graph Database information

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How much do senior specialist graph database jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for senior specialist graph database in the United States is $32.20, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $39.42 per hour, depending on experience, location, and employer.

What is the difference between Senior Specialist Graph Database vs Data Engineer?

AspectSenior Specialist Graph DatabaseData Engineer
Required CredentialsDatabase certifications, SQL, NoSQL, graph database expertiseComputer science degree, SQL, ETL, cloud certifications
Work EnvironmentData teams, database administration, analytics projectsData pipelines, infrastructure, cloud platforms
Employer & Industry UsageTech, finance, e-commerce with graph data needsTech, finance, healthcare, big data environments
Search & Comparison IntentUnderstanding specialized graph database rolesBroader data infrastructure roles

The Senior Specialist Graph Database focuses on designing, maintaining, and optimizing graph databases for complex data relationships, often requiring specialized certifications. Data Engineers build and manage data pipelines and infrastructure, working across various data storage and processing systems. While both roles involve data management, the Senior Specialist Graph Database is more specialized in graph data structures, whereas Data Engineers have a broader scope in data architecture and pipeline development.

More about Senior Specialist Graph Database jobs
What cities are hiring for Senior Specialist Graph Database jobs? Cities with the most Senior Specialist Graph Database job openings:
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Senior Specialist Graph Database jobs near you
Infographic showing various Senior Specialist Graph Database job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 96% Full Time, and 3% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $66,986 per year, or $32.2 per hour.

Graph and Time Series Database Specialist

Futran Tech Solutions Pvt. Ltd.

Plano, TX • On-site

Full-time

Posted 23 days ago

Job description

Title: Graph and Time Series Database Specialist
Location: Plano, Texas (Onsite Role)
Need Local Candidates Only
Position Overview:
We are seeking a highly skilled and motivated Graph and Time Series Database Specialist to join our dynamic team. As a specialist in graph and time series databases, you will play a critical role in designing, implementing, optimizing, and maintaining our data storage solutions. Your expertise will help drive innovation, enhance data performance, and support our organization's data-driven decision-making processes.
Key Responsibilities:
1. Database Design and Implementation:
• Collaborate with cross-functional teams to understand data requirements and design appropriate graph and time series database schemas.
• Implement and configure graph and time series databases to meet specific application needs.
• Ensure data integrity, consistency, and security across databases.
2. Query Optimization and Performance Tuning:
• Analyze and optimize query performance for graph traversal and time series data retrieval.
• Identify and resolve bottlenecks to improve overall database performance.
• Monitor and fine-tune database parameters to enhance system efficiency.
3. Data Modeling:
• Develop and maintain data models for graph and time series data structures.
• Map complex relationships and hierarchies for efficient graph traversals.
• Define retention policies and storage strategies for time series data.
4. Data Integration:
• Integrate graph and time series databases with existing systems and applications.
• Implement data pipelines for seamless data ingestion and synchronization.
• Work with ETL processes to ensure timely and accurate data updates.
5. Security and Compliance:
• Implement security measures to protect sensitive data stored in the graph and time series databases.
• Ensure compliance with relevant data protection regulations and industry standards.
Troubleshooting and Maintenance:
• Monitor database health and diagnose and resolve issues as they arise.
Required Qualifications:
• Bachelor's degree in computer science, Information Technology, or a related field.
• Proven development experience with in Graph database technologies (e.g., Neo4j, Amazon Neptune), Time Series databases (e.g., InfluxDB, TimescaleDB, AWS Timestream), NOSQL (eg., AWS DynamoDB, MongoDB) and In-memory(eg., AWS MemoryDB for Redis)
• Graph Query Languages like openCypher, Gremlim or SPARQL.
• Proficiency in Python programming.
• Solid knowledge of graph database concepts, including graph data modeling, traversal algorithms, etc.
• Exeprience in GraphDB tuning techniques, eg: partitioning and sharding, create and use indexes, Query profiling, Configure the page cache, Configuration parameters and memory tuning, garbage collection, etc.
• Implement data ingestion pipelines to efficiently capture and store real-time and historical time series data from various sources.
• Design and develop time series database architectures that efficiently manage high-frequency, chronological data.
• Proficiency in database design, query optimization, and performance tuning.
• Strong understanding of data modeling principles for graph structures and time-based data.
• Familiarity with real-time data processing frameworks (e.g., Kafka, Apache Flink) is a plus.
• Excellent problem-solving and troubleshooting skills.
• Strong communication and collaboration abilities.
• Ability to work independently and manage multiple tasks simultaneously.
• Preferred certifications: Neo4j Certified Professional, InfluxData Certified Professional, etc.

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