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Database Programmer Jobs in Pennsylvania (NOW HIRING)

Geologic

Principal Database Administrator

State College, PA · On-site

$101.94 - $147.40/hr

Typically requires a degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 8 years of Database Administration experience. * Experience with Relational Database Management ...

JPC Partners

Oracle Database Administrator

Norristown, PA · On-site

$48.50 - $65.75/hr

JPC is looking for an Oracle Database Administrator that will be on a new team focused on engineering in IBM AIX UNIX, Oracle Exadata and RedHat Linux environments. Responsibilities * Day to day ...

kgs

Database Administrator

Mechanicsburg, PA

Collaborate with application developers to ensure database designs meet application requirements. * Develop and implement backup and recovery plans to ensure data integrity and availability.

New

kgs

Database Administrator

Mechanicsburg, PA

Collaborate with application developers to ensure database designs meet application requirements. * Develop and implement backup and recovery plans to ensure data integrity and availability.

New

Koniag, Inc.

Database Administrator

Mechanicsburg, PA · On-site

Collaborate with application developers to ensure database designs meet application requirements. * Develop and implement backup and recovery plans to ensure data integrity and availability.

New

Envestnet, Inc.

Senior Database Administrator

Berwyn, PA · On-site

$47.75 - $65.75/hr

It also drives long-term resilience through archival strategies, standardized procedures, and cross-functional engineering improvements. * Applies strong functional and technical database expertise ...

Envestnet

Senior Database Administrator

Berwyn, PA · Hybrid

$47.75 - $65.75/hr

It also drives long-term resilience through archival strategies, standardized procedures, and cross-functional engineering improvements. * Applies strong functional and technical database expertise ...

360 IT Professionals

Teradata DBA

Pittsburgh, PA

Net (Web and Mobile) Application Developer Role: Teradata DBA Location: Pittsburgh, PA Duration: 6 months Contract-To-Hire ESSENTIAL RESPONSIBILITIES: * Create, develop, and review the physical model ...

Envestnet

Senior Database Administrator

Berwyn, PA · Hybrid

$47.75 - $65.75/hr

It also drives long-term resilience through archival strategies, standardized procedures, and cross-functional engineering improvements. * Applies strong functional and technical database expertise ...

Envestnet

Senior Database Administrator

Berwyn, PA · Hybrid

$47.75 - $65.75/hr

It also drives long-term resilience through archival strategies, standardized procedures, and cross-functional engineering improvements. * Applies strong functional and technical database expertise ...

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All JobsDatabase Programmer JobsDatabase Programmer Jobs in Pennsylvania

Database Programmer information

See Pennsylvania salary details

$21

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$79

How much do database programmer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for database programmer in Pennsylvania is $44.01, according to ZipRecruiter salary data. Most workers in this role earn between $33.75 and $44.57 per hour, depending on experience, location, and employer.

What is a database programmer?

Database programmers maintain a company’s database and ensure the stored information is secure. Some database programmers may design databases from scratch, but most companies use an established commercial database, such as the ones offered by Oracle, IBM, or Microsoft. The job duties of a database programmer include writing Structured Query Language (SQL) queries, generating data reports, and troubleshooting storage issues.

What is a database programmer?

A Database Programmer is a specialized software developer who designs, implements, and maintains databases to store and organize data efficiently. They write code, often using languages like SQL, to create database structures, queries, and procedures that support data-driven applications. Database Programmers also ensure data integrity, optimize performance, and may collaborate with other IT professionals to integrate databases with applications. Their role is essential in managing the flow and security of information within an organization.

What are the key skills and qualifications needed to thrive as a database programmer, and why are they important?

To thrive as a Database Programmer, you need strong proficiency in database design, SQL programming, and a solid understanding of data modeling, typically supported by a degree in computer science or a related field. Familiarity with database management systems like Oracle, MySQL, or Microsoft SQL Server, as well as certifications such as Microsoft Certified: Azure Database Administrator Associate, are highly beneficial. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for this role. These competencies ensure reliable database performance, efficient data handling, and successful collaboration with development teams and stakeholders.

How does a database programmer typically collaborate with other IT professionals during a project?

Database Programmers often work closely with software developers, system administrators, and business analysts to design, implement, and maintain databases that support various applications. Collaboration usually involves gathering requirements, integrating databases with front-end applications, and troubleshooting performance issues together. Being proactive in communication and documentation is essential, as projects often require aligning database functionalities with broader technical and business goals. Regular meetings and code reviews are common, helping ensure that solutions are robust and scalable.

What is the difference between Database Programmer vs Database Developer?

AspectDatabase ProgrammerDatabase Developer
CredentialsTypically requires programming skills, SQL certifications, and knowledge of database languagesOften requires similar credentials, with additional focus on database design and architecture
Work EnvironmentWorks primarily with coding, scripting, and database maintenance in IT or software companiesInvolves designing, developing, and optimizing databases in various industries
Employer & Industry UsageUsed in tech firms, finance, healthcare, and any industry relying on data managementCommon in software development, data analysis, and enterprise IT sectors

While both roles involve working with databases, a Database Programmer mainly focuses on coding and maintaining database scripts, whereas a Database Developer is more involved in designing and developing database systems. The roles often overlap, but the developer typically has broader responsibilities in database architecture and optimization.

Are database programmers still in demand?

Database programmers, also known as database developers or SQL developers, are in steady demand due to the ongoing need for data management and analysis across industries. Skills in SQL, database design, and familiarity with platforms like Oracle, MySQL, or Microsoft SQL Server are highly valued, and employment opportunities remain strong as organizations rely on data-driven decision-making.

How much do database programmers make?

Database programmers typically earn a median annual salary of around $80,000 to $100,000, depending on experience, location, and industry. Skilled professionals with knowledge of SQL, database management systems, and programming languages like Python or Java tend to have higher earning potential.
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Database Programmer jobs near you
Infographic showing various Database Programmer job openings in Pennsylvania as of August 2026, with employment types broken down into 81% Full Time, 14% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $91,548 per year, or $44 per hour.

Cloud Solutions Architect / Database Engineer / AI Platform Architect

ABCO Maintenance

Philadelphia, PA • On-site

$150K - $180K/yr

Full-time

Posted 13 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
Philadelphia, PA
About the Organization
This position is currently accepting applications.

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