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Backend Database Developer Jobs in New Britain, CT

ITBMS Inc.

Backend Engineer (Agentic AI)

Hartford, CT · On-site

Lead Backend Engineer (Agentic AI) Location :Hartford, CT (3 days Onsite) Primary Skill : Python ... Must-Have Skills Python strong, production-grade proficiency (primary language) Databases solid ...

Labcorp

Senior Software Engineer

Bloomfield, CT · On-site

$122K - $161K/yr

Design, implement, and maintain applicationspecific user interfaces, web services, backend database ... Bachelor's degree in Engineering, Computer Science, Information Technology, Artificial Intelligence ...

Info Way Solutions

Python Developer

Hartford, CT · On-site

$50.75 - $69.75/hr

Info Way Solutions is seeking a Python Developer with strong SQL expertise to develop, optimize ... The ideal candidate should have hands-on experience with backend development, database querying ...

nLeague

Senior Developer

Hartford, CT · On-site

$55 - $72.75/hr

... databases. You will be hands-on in HTML and accessibility markup remediation, working primarily ... Proficiency in CMS templates, JavaScript frameworks, backend API configuration, and UI component ...

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All JobsBackend Database Developer JobsBackend Database Developer Jobs in New Britain, CT

Backend Database Developer information

See New Britain, CT salary details

$11

$57

$83

How much do backend database developer jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for backend database developer in New Britain, CT is $57.10, according to ZipRecruiter salary data. Most workers in this role earn between $46.83 and $67.50 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 New Britain, CT look for?

The top searched job categories for Backend Database Developer jobs in New Britain, CT are:

Cloud Solutions Architect / Database Engineer / AI Platform Architect

Hartford, CT • On-site

ABCO Maintenance
Automotive Repair and Maintenance • 51 - 200 employees
Learn more about ABCO Maintenanceexternal

$150K - $180K/yr

Full-time

Re-posted 9 days ago

Job description

EOE Statement
We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.
Category
Information Technology
Description
We are seeking a highly experienced Cloud Solutions Architect / Database Engineer / AI Platform Architect to design and build the cloud, database, security, API, and AI infrastructure that supports our enterprise applications. Compensation for this role will be between $150k-$180k depending on experience.
This role will be responsible for establishing scalable cloud architecture, designing and engineering production databases, developing secure APIs and integration services, implementing authentication and application security standards, and architecting the AI foundation of our applications. The architect will build the backend and AI service layers that allow front-end developers to securely and efficiently consume application data, business functionality, and AI-powered capabilities.
The ideal candidate will have deep expertise in cloud architecture, C#/.NET, SQL Server, database engineering, REST APIs, application security, authentication, Azure or AWS, enterprise integrations, and production AI architecture. This individual should be capable of taking business and application requirements and translating them into secure, scalable, production-ready technical solutions.
Experience with AI and Large Language Model (LLM) platforms is required, particularly when designing the infrastructure, data access, security, APIs, and application architecture necessary to support AI-powered enterprise solutions. The ideal candidate will have hands-on experience building production AI applications using OpenAI, Azure OpenAI, Anthropic, Google AI, or comparable LLM technologies, including designing workflows that enable AI to execute complex business processes through structured instructions, examples, retrieval strategies, orchestration, and enterprise data integration. This role requires experience developing AI as an operational component of an application, not simply integrating an AI API or adding chatbot functionality.
Responsibilities
  • Architect and implement scalable, secure, and highly available cloud environments for enterprise applications.
  • Design the overall backend architecture supporting web applications, internal systems, integrations, and AI-powered solutions.
  • Design, build, and maintain production database environments, including schemas, tables, relationships, stored procedures, views, indexing strategies, and data-access patterns.
  • Develop and optimize SQL Server databases for performance, scalability, reliability, data integrity, and security.
  • Establish database standards covering data modeling, normalization, indexing, query optimization, auditing, backup, recovery, and disaster recovery.
  • Design and develop secure RESTful APIs and backend services using C#, ASP.NET Core, and related .NET technologies.
  • Build well-structured API and service layers that allow front-end developers to consume data and business functionality without requiring direct access to backend systems or databases.
  • Define API contracts, request/response models, validation standards, error handling, versioning, documentation, and integration patterns.
  • Implement authentication and authorization solutions using technologies and standards such as OAuth 2.0, OpenID Connect, JWT, SSO, RBAC, and enterprise identity providers.
  • Design and enforce application and API security standards, including SSL/TLS, encryption, secrets management, certificate management, secure configuration, and least-privilege access.
  • Implement secure communication between cloud services, databases, APIs, external systems, AI services, and front-end applications.
  • Design cloud networking and infrastructure components including application hosting, databases, storage, identity, networking, firewalls, gateways, load balancing, monitoring, logging, and availability strategies.
  • Develop integration architectures for internal systems, third-party applications, vendor APIs, and enterprise platforms.
  • Design data pipelines, ETL processes, data transformation services, and system-to-system integrations where required.
  • Establish logging, monitoring, auditing, alerting, and observability standards across backend services and cloud infrastructure.
  • Design scalable architectures capable of supporting increasing users, transaction volumes, data volumes, integrations, AI workloads, and application workloads.
  • Implement caching, asynchronous processing, queues, background services, and other distributed architecture patterns when appropriate.
  • Develop and maintain CI/CD pipelines and infrastructure deployment processes.
  • Work closely with front-end developers to define API requirements, data contracts, authentication flows, AI service interactions, and integration standards.
  • Design and implement AI workflow architectures that enable Large Language Models to perform complex business functions by defining process sequences, system instructions, prompt strategies, retrieval mechanisms, examples, evaluation methods, tool interactions, and orchestration workflows.
  • Architect AI systems capable of incorporating enterprise knowledge and business processes through structured process definitions, contextual examples, retrieval, tool use, and iterative refinement so that AI can reliably execute operational business tasks.
  • Design Retrieval-Augmented Generation (RAG) architectures that securely retrieve relevant enterprise information from databases, documents, APIs, vector stores, and other approved business data sources.
  • Design secure AI integration patterns that control how LLMs access enterprise databases, APIs, internal systems, and sensitive business information.
  • Establish AI evaluation, testing, monitoring, and quality standards to measure accuracy, reliability, consistency, security, and effectiveness of AI-powered workflows.
  • Collaborate with business stakeholders and development teams to translate application requirements and business processes into technical and AI architectures.
  • Evaluate technical risks, scalability requirements, security concerns, infrastructure costs, AI usage costs, and architectural tradeoffs.
  • Conduct architecture and code reviews and establish backend, database, API, cloud, security, and AI development standards.
  • Provide technical leadership and mentoring to developers working within the architecture.

Position Requirements
Qualifications
  • 8+ years of professional software development, cloud engineering, database engineering, or software architecture experience.
  • Demonstrated experience designing production cloud and backend architectures for enterprise applications.
  • Strong expertise with C#, .NET, ASP.NET Core, and RESTful API development.
  • Advanced SQL Server and database engineering experience.
  • Strong experience with relational data modeling, database architecture, stored procedures, indexing, query optimization, execution plans, and performance tuning.
  • Experience designing databases for high-volume, production enterprise applications.
  • Strong experience designing secure API and service architectures consumed by modern web applications.
  • Strong understanding of API contracts, versioning, validation, error handling, documentation, and service-layer architecture.
  • Extensive experience with authentication and authorization technologies including OAuth 2.0, OpenID Connect, JWT, SSO, and role-based access control.
  • Strong understanding of SSL/TLS, encryption, certificate management, secrets management, secure credential storage, and application security best practices.
  • Production experience with Microsoft Azure, AWS, or comparable enterprise cloud environments.
  • Experience designing cloud networking, compute, storage, database, identity, monitoring, and security infrastructure.
  • Strong understanding of distributed systems, scalability, availability, fault tolerance, disaster recovery, and production support.
  • Experience with Git, CI/CD methodologies, deployment pipelines, and automated application deployment.
  • Demonstrated experience designing, building, and deploying AI-powered applications using OpenAI, Azure OpenAI, Anthropic, Google AI, or similar LLM platforms. Candidates should have experience creating AI workflows that enable models to perform business processes through structured prompts and system instructions, process sequencing, examples, retrieval, evaluation, tool use, orchestration, and production integration-not simply consuming AI APIs.
  • Experience designing AI capabilities as integrated components of enterprise applications and business workflows.
  • Ability to translate business processes into technical workflows, data requirements, API interactions, AI instructions, and system architectures.
  • Strong troubleshooting, analytical, documentation, and communication skills.
  • Experience providing technical leadership, architecture guidance, and mentoring to software development teams.

Preferred Skills
  • Microsoft Azure architecture experience, including services such as Azure App Service, Azure SQL, Azure Functions, Azure Storage, Key Vault, Microsoft Entra ID, API Management, Application Insights, and Azure networking.
  • Experience with AWS or multi-cloud architectures.
  • Experience with Docker, Kubernetes, containerized applications, and container orchestration.
  • Experience with API gateways, reverse proxies, load balancers, message queues, caching platforms, and event-driven architectures.
  • Experience with Infrastructure as Code technologies such as Terraform, Bicep, ARM templates, or CloudFormation.
  • Experience designing enterprise integration architectures and ETL/data-processing pipelines.
  • Experience with data warehousing, reporting databases, and business intelligence architectures.
  • Hands-on experience designing and building production AI applications using OpenAI, Azure OpenAI, Anthropic, Google AI, or comparable generative AI platforms.
  • Experience architecting AI workflows, prompt engineering, system instructions, Retrieval-Augmented Generation (RAG), vector databases, embeddings, semantic search, AI agents, tool/function calling, orchestration frameworks, and evaluation methodologies for enterprise AI solutions.
  • Experience designing AI systems that incorporate business workflows through structured process definitions, contextual examples, enterprise knowledge retrieval, tool use, and iterative refinement, enabling AI to reliably execute operational business tasks.
  • Experience designing secure architectures that allow AI systems to interact with enterprise databases, APIs, internal systems, and business information while maintaining appropriate authorization and data-access controls.
  • Familiarity with Angular, React, Blazor, or other modern front-end frameworks sufficient to effectively design APIs and services supporting front-end development.
  • Experience with IIS and Windows Server environments.
  • Experience with automated testing, performance testing, security testing, and vulnerability management.

Role Focus
This position is primarily an architecture, backend infrastructure, database, security, and AI platform role, not a front-end development position.
The successful candidate will own the technical foundation behind our applications:
Cloud Infrastructure → Security & Identity → Databases → Backend Services → APIs → AI Services → Front-End Applications
The architect will ensure that front-end developers have secure, reliable, well-documented APIs and services through which application functionality, enterprise data, and AI capabilities can be accessed.
In addition to owning the cloud, database, security, integration, and API architecture, this role will play a critical part in designing the AI foundation of our platform. We are building enterprise applications in which AI is an operational component of the business process, not simply a chatbot or standalone feature.
The successful candidate will have proven experience building AI-powered products that enable Large Language Models to execute business workflows through structured process design, system instructions, contextual examples, retrieval strategies, tool use, orchestration, evaluation, and enterprise integrations. Experience building production solutions using OpenAI, Azure OpenAI, or comparable LLM platforms is considered a core requirement of this role.
The overall goal of this position is to establish a secure, scalable, maintainable, and production-ready cloud and AI architecture that provides the foundation on which our front-end applications and future intelligent business capabilities are built.
Full-Time/Part-Time
Full-Time
Position
IT SUPPORT PROFESSIONAL
Number of Openings
1
Open Date
8/7/2026
Location
Hartford, CT
About the Organization
This position is currently accepting applications.

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