ZipRecruiter

Log In

1

Sql Jobs in Reno, NV (NOW HIRING)

GREATER NEVADA CREDIT UNION

SYSTEMS ANALYST

Reno, NV · On-site

$64K - $90K/yr

Database experience (SQL, Oracle and/or Snowflake: 1+ years' experiencerequired. * Information Technology: 3+ years' experience required. * Previous financial institution experience is a plus. Skills ...

Net Impact

Global Supply Chain Analyst

Reno, NV · On-site

SQL, Power BI, or Tableau experience is desirable. * Strong written and verbal communication skills, with the ability to turn analysis into clear recommendations. * Comfortable working onsite and ...

Equs, Inc.

Senior AI Engineer

Reno, NV · Remote

$107K - $146K/yr

Design the context augmentation pipelines, spanning vector RAG, CAG, agentic file exploration, Text-to-SQL, knowledge graphs, fine-tuning, and MCP-based context engineering, and select the right ...

Greater Nevada Credit Union

SYSTEMS ANALYST

Reno, NV · On-site

$64K - $90K/yr

Database experience (SQL, Oracle and/or Snowflake: 1+ years' experiencerequired.Information Technology: 3+ years' experience required.Previous financial institution experience is a plus.Skills ...

previous page

Showing results 41-60

All JobsSql JobsSql Jobs in Reno, NV

Sql information

See Reno, NV salary details

$20

$52

$72

How much do sql jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for sql in Reno, NV is $52.45, according to ZipRecruiter salary data. Most workers in this role earn between $43.37 and $59.42 per hour, depending on experience, location, and employer.

What is SQL?

In database programming, structured query language (SQL) is a domain-specific language that programmers and database administrators use to store and manipulate data, particularly structured data controlled by relational database systems. Relational data is when pieces of data have a relation to variables in the database. SQL gained in popularity over similar earlier languages because it allowed users to call up many pieces of data with a single command and did away with the need for an index of the information in the database. A variety of careers use structured query language (SQL), including technical jobs as a database administrator, server management specialist, web designer, hosting technician, software developer, and software quality assurance, as well as positions in business analysis and business intelligence.

What is an SQL developer?

SQL developers are professionals who specialize in using Structured Query Language (SQL) to manage and manipulate data within relational database systems. They design, develop, and maintain databases, write complex queries, and ensure the integrity and security of data. SQL developers often work closely with other IT staff to optimize database performance and support applications that rely on database information.

What are the key skills and qualifications needed to thrive as an SQL developer?

To thrive as an SQL Developer, you need strong knowledge of database design, SQL programming, and data manipulation, typically supported by a degree in computer science or a related field. Familiarity with database management systems like Microsoft SQL Server, MySQL, or Oracle, and certifications such as Microsoft Certified: Azure Data Fundamentals are often required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for collaborating with teams and interpreting business requirements. These skills ensure accurate data management, efficient query performance, and successful delivery of data-driven solutions.

What are some common challenges faced by SQL developers when working with large databases?

SQL Developers often encounter challenges such as optimizing query performance, managing data integrity, and handling massive volumes of data efficiently. Large databases can slow down queries, so developers must use indexing, partitioning, and query optimization techniques to maintain speed and reliability. Collaboration with database administrators and data analysts is also crucial to resolve performance bottlenecks and ensure data consistency across teams.

What is the difference between Sql vs Database Administrator?

AspectSqlDatabase Administrator
Required CredentialsKnowledge of SQL language, certifications like Microsoft SQL Server CertificationSQL certifications, database management certifications, experience with SQL
Work EnvironmentDeveloping, writing, and testing SQL queries and scriptsManaging, maintaining, and securing databases in enterprise environments
Industry UsageUsed by developers, data analysts, and database professionalsEmployed by organizations to oversee database systems

Sql is a language used for managing and querying databases, while a Database Administrator (DBA) manages and maintains the database systems. SQL skills are essential for DBAs, but the role involves broader responsibilities like performance tuning, security, and backups.

Does SQL pay well?

SQL professionals, such as database administrators and developers, typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with experience and skills in tools like SQL Server or MySQL, salaries tend to increase significantly, especially in high-demand sectors like finance and technology.

Is SQL a difficult skill to learn?

SQL is a fundamental skill for data-related roles and is generally considered accessible for beginners. It involves learning syntax and concepts like queries and databases, which can be mastered with practice and training. Many resources and courses are available to help new learners develop proficiency efficiently.

Is SQL high demand?

SQL is a highly in-demand skill for data analysts, database administrators, and developers, as it is essential for managing and querying relational databases. Many industries rely on SQL for data-driven decision-making, leading to consistent job opportunities and competitive salaries for those proficient in SQL and related tools like MySQL, PostgreSQL, or SQL Server.

Is SQL in demand in 2026?

SQL remains a highly in-demand skill for data analysts, database administrators, and developers in 2026, as many organizations rely on relational databases for data management. Proficiency in SQL, along with knowledge of database management systems like MySQL, PostgreSQL, or SQL Server, continues to be valuable for roles involving data analysis, reporting, and backend development.
More about Sql jobs

What are popular job titles related to Sql jobs in Reno, NV?

For Sql jobs in Reno, NV, the most frequently searched job titles are:

What job categories do people searching Sql jobs in Reno, NV look for?

The top searched job categories for Sql jobs in Reno, NV are:

What cities near Reno, NV are hiring for Sql jobs?

Cities near Reno, NV with the most Sql job openings:

Sql jobs near you
Infographic showing various Sql job openings in Reno, NV as of September 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $109,086 per year, or $52.4 per hour.

Cloud Solutions Architect / Database Engineer / AI Platform Architect

Reno, NV

ABCO MAINTENANCE INC. (BIC# 1854)
Automotive Repair and Maintenance • 51 - 200 employees
Learn more about ABCO MAINTENANCE INC. (BIC# 1854)external

$150K - $180K/yr

Full-time

Re-posted 4 days ago

Job 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 thisrole will bebetween $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 secureRESTful 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 asOAuth 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.

Apply