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Backend Database Developer Jobs in Princeton, NJ

Staff Backend Engineer

New York, NY · On-site

$150K - $200K/yr

Database & Systems: Design and optimize data models using Postgres, DynamoDB, and Redis for ... Mentor other backend engineers, conduct code reviews, and raise the engineering bar. * Cross ...

Staff Backend Engineer

New York, NY · On-site

$150K - $200K/yr

Database & Systems: Design and optimize data models using Postgres, DynamoDB, and Redis for ... Mentor other backend engineers, conduct code reviews, and raise the engineering bar. * Cross ...

... developer infrastructure. Job Overview We're looking for an experienced Backend Infrastructure ... Improve performance, reliability, and efficiency across our services and databases * Optimize ...

Strong understanding of database design * An advocate for good, clean, well-documented and ... Senior Back-End Engineer Additional Information All your information will be kept confidential ...

Backend Engineer

New York, NY · On-site

$120K - $160K/yr

Database & Systems: Design, implement, and optimize data models across Postgres, DynamoDB, and ... Ideal Background * 3-5+ years of backend engineering experience . * Proficiency in Python and ...

Backend Engineer

New York, NY · On-site

$120K - $160K/yr

Database & Systems: Design, implement, and optimize data models across Postgres, DynamoDB, and ... Ideal Background * 3-5+ years of backend engineering experience . * Proficiency in Python and ...

Software Engineer, Backend

New York, NY · On-site

$200K - $400K/yr

Depending on the project, you might design an API shared by several services, evolve a database ... Improve software that runs across developer machines and containerized environments. * Make ...

Role Description As a Backend Engineer , you'll help build and scale the systems that power our AI ... Own reliability and observability, helping us evolve our database (Postgres / ClickHouse) and job ...

As a Backend Engineer, you will play a critical role in building and scaling our real-time data ... Work across the data stack, from streaming pipelines, data modelling, analytics databases, and real ...

Senior Backend Engineer

New York, NY · Hybrid

$160K - $180K/hr

Build the layer that connects AI agents and developer frameworks: proxies, SDKs, and agent tooling ... Solid knowledge of APIs, distributed systems, databases, queues, and caching * Experience with ...

Senior Backend Engineer

New York, NY · On-site

$140K - $200K/yr

Role Description As a Backend Engineer, you'll help build and scale the systems that power our AI ... Own reliability and observability, helping us evolve our database (Postgres / ClickHouse) and job ...

Showing results 21-40

Backend Database Developer information

See Princeton, NJ salary details

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$60

$88

How much do backend database developer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for backend database developer in Princeton, NJ is $60.52, according to ZipRecruiter salary data. Most workers in this role earn between $49.66 and $71.59 per hour, depending on experience, location, and employer.

What is a backend database developer?

Backend Database Developers are IT professionals who design, build, and maintain the databases that power websites and applications. They focus on how data is stored, accessed, and managed behind the scenes, ensuring reliability, efficiency, and security. Their work includes creating database schemas, optimizing queries, writing stored procedures, and collaborating with other developers to integrate databases with application code. They often use technologies like SQL, NoSQL, and various database management systems. Their expertise is essential for handling large volumes of data and supporting business operations.

What are the key skills and qualifications needed to thrive as a backend database developer?

To thrive as a Backend Database Developer, you need expertise in database design, SQL programming, and data modeling, usually supported by a degree in computer science or a related field. Familiarity with relational and NoSQL databases (such as MySQL, PostgreSQL, MongoDB), cloud platforms, and certifications like Oracle Certified Professional are highly valuable. Analytical thinking, problem-solving, and effective collaboration are standout soft skills for this position. These skills are critical for ensuring data integrity, optimizing performance, and supporting scalable, reliable backend systems.

What are the typical collaboration points between a backend database developer and other teams in a tech organization?

Backend Database Developers frequently work alongside frontend developers, DevOps engineers, and data analysts to ensure seamless data flow and application performance. They collaborate with frontend teams to design APIs and data models that meet user requirements, and with DevOps to optimize database deployment and scaling strategies. Regular communication with data analysts helps ensure that data structures support reporting and analytics needs. This collaborative environment encourages cross-functional problem-solving and continuous learning.

What is the difference between Backend Database Developer vs Backend Software Engineer?

AspectBackend Database DeveloperBackend Software Engineer
Primary FocusDesigning, implementing, and managing databases and data storage solutionsDeveloping server-side application logic and APIs
Required SkillsSQL, database management, data modelingProgramming languages (e.g., Java, Python), API development, server management
Work EnvironmentDatabase administration, data architecture teamsApplication development teams, full-stack projects
Common CertificationsOracle Certified Professional, Microsoft SQL Server certificationsJava, Python certifications, AWS Developer

While both roles work on backend systems, the Backend Database Developer specializes in data storage and database management, whereas the Backend Software Engineer focuses on building server-side applications and APIs. Understanding these distinctions helps in choosing the right career path or job search focus.

Is a backend database developer in demand?

Backend database developers are in high demand due to the increasing reliance on data-driven applications and cloud-based systems. Skills in SQL, NoSQL, and database management tools are highly valued across industries, and the role often requires knowledge of programming languages like Python or Java. The demand is expected to grow as organizations prioritize data security, scalability, and efficient data processing.

What job categories do people searching Backend Database Developer jobs in Princeton, NJ look for?

The top searched job categories for Backend Database Developer jobs in Princeton, NJ are:

What cities near Princeton, NJ are hiring for Backend Database Developer jobs?

Cities near Princeton, NJ with the most Backend Database Developer job openings:

Infographic showing various Backend Database Developer job openings in Princeton, NJ as of August 2026, with employment types broken down into 78% Full Time, 17% Part Time, and 5% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $125,883 per year, or $60.5 per hour.

Senior Backend Engineer_Hybrid (NYC)

PulseRise Technologies

New York, NY • On-site

Full-time

Re-posted 23 days ago


Job description

Dear applicants, please note that applications without salary expectations and an active LinkedIn profile will not be considered.
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.
Details
Schedule: Full-time
Location: Hybrid (NYC)
Type of collaboration: Full-time employment
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.
You have
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
What to do
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
Interview process
Recruiter screen
Intro call
Technical screen with a senior engineer
On-site: coding, system design, product sense, AI sense, and a meeting with a co-founder