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Senior Specialist Graph Database Jobs (NOW HIRING)

Catapult Sports

Senior ML/Data Engineer

New York, NY

$116K - $157K/yr

Experience designing graph data models or graph database schemas, not simply querying or consuming ... other technical domain specialists. * Experience building probabilistic evaluation, model ...

Catapult Sports

Senior ML/Data Engineer

New York, NY

$116K - $157K/yr

Experience designing graph data models or graph database schemas, not simply querying or consuming ... other technical domain specialists. * Experience building probabilistic evaluation, model ...

Catapult Sports

Senior ML/Data Engineer

New York, NY · On-site

$116K - $157K/yr

Experience designing graph data models or graph database schemas, not simply querying or consuming ... other technical domain specialists. * Experience building probabilistic evaluation, model ...

United Airlines

$112 - $147/hr

Description We are seeking an experienced and passionate Senior Knowledge Graph Developer to design ... graph database development, or semantic web technologies. * Graph Technology Expertise: Proven ...

Socket.dev

Junior Graph Data Engineer

Arlington, VA · On-site

$70 - $100/hr

... senior engineers, document work clearly, and explain technical decisions to non-specialist ... Graph Database Platforms: Conceptual familiarity with modern enterprise graph database platforms.

VTG

Database Engineer IV

Herndon, VA · On-site

$180K - $230K/yr

Overview Byte Systems, a subsidiary of VTG, is seeking a Principal/Senior Principal Database ... with Graph database technology • Data modeling experience Do you have what it takes? For ...

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

As of Sep 6, 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.

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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 August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $66,986 per year, or $32.2 per hour.

Senior Backend Engineer_Hybrid (NYC)

PulseRise Technologies

Manhattan, NY • On-site

$120 - $160/hr

Other

Re-posted 8 days ago

Job description

We are looking for a Senior Backend Engineer to join a fast-moving applied AI and data analytics company as one of their highest-priority hires. The focus is twofold: architecting the platform to sustain significantly increased enterprise usage, and building innovative new features with decisions that hold up for years. This is a DRI (Directly Responsible Individual) role — you will own systems end-to-end, from graph database layer to API infrastructure to data pipelines at scale. The sweet spot is someone senior enough to think architecturally, but still energized by hands‑on implementation.

The platform connects an organization's entire data landscape — internal systems, social media trends, industry reports, consumer behavior signals — into a single coherent intelligence layer that surfaces insights and automates workflows that used to take analysts weeks. At its core is a production graph RAG system connecting temporal and sentiment data at enterprise scale — a key technical differentiator. As a senior backend IC, you will work across the graph database layer, API infrastructure, and data pipelines with concurrency at scale. You will collaborate with ML/AI engineers to bring predictive and prescriptive models into production, own system reliability under high‑throughput conditions, and shape the long‑term technical trajectory of the platform. There is currently a staff backend engineer working across large parts of the stack — you will be additive senior capacity, not a replacement.

Details

Schedule: Full-time

Location: Hybrid (NYC)

Type of collaboration: Full-time employment

Qualifications
  • 5+ years of professional backend engineering experience building systems at scale
  • Strong Python proficiency; confidence that picking up Go would be no problem (Go experience is a plus)
  • Experience with distributed systems and microservices architecture
  • Comfort with both SQL and NoSQL databases and data processing at scale
  • Startup or small-team experience where you built new things with real ownership — not just maintained existing systems
Nice to Have
  • Graph database experience (a major plus — core to the stack)
  • Go experience
  • Familiarity with RAG architectures and the broader GenAI landscape
  • Experience with real-time data processing, streaming technologies, and concurrency at scale
  • Understanding of ML/AI concepts, particularly forecasting and NLP
  • Kubernetes and container orchestration experience
Responsibilities
  • Design, build, and scale backend services in Go and Python powering autonomous intelligence for enterprise clients
  • Architect data ingestion and processing pipelines handling millions of data points across internal and external sources
  • Build and maintain APIs serving the agentic AI platform, supporting real-time decision‑making at enterprise scale
  • Work with the graph database layer and production graph RAG system
  • Collaborate with ML/AI engineers to integrate predictive and prescriptive models into production workflows
  • Own system reliability — design for fault tolerance, observability, and performance under high‑throughput conditions
  • Contribute to architectural decisions that shape the long‑term trajectory of the platform
  • Mentor engineers and help establish backend engineering best practices as the team scales
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