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Telecommute Database Security Engineer Jobs in Tooele, UT

Department Overview At Motorola Solutions, safety and security are at the heart of everything we do ... Dissect complex system architectures, server infrastructure, and database layers to troubleshoot ...

Contribute to cloud-native AI solutions designed for security, scalability, reliability, and ... databases * Familiarity with LangChain, LangGraph, or similar AI orchestration frameworks

Data & Infrastructure Engineer

Draper, UT · On-site

$107K - $128K/yr

Implement and maintain data security protocols to protect WorkBay's proprietary information ... Own database schema migrations, indexing, and query optimization in PostgreSQL * Manage version ...

Maintains FRACAS database, monitors status, tracks open FRACAS investigations, and generates ... Ability to obtain a DoD Security Clearance , as required Required Qualifications (one of the ...

Platform Engineer (DevOps)

Salt Lake City, UT · On-site

$51 - $70/hr

... security, compliance, governance, and quality controls throughout the software development ... NoSQL databases including SQL Server, MySQL, PostgreSQL, MongoDB, and tools like Liquibase • ...

Showing results 41-60

Telecommute Database Security Engineer information

See Tooele, UT salary details

$56.8K

$114.6K

$157.3K

How much do telecommute database security engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for telecommute database security engineer in Tooele, UT is $114,644.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,400.00 and $131,400.00 per year, depending on experience, location, and employer.

What is the difference between Telecommute Database Security Engineer vs Database Administrator?

AspectTelecommute Database Security EngineerDatabase Administrator
Primary FocusSecuring databases, implementing security protocols, monitoring threatsManaging database performance, backups, and data integrity
Required SkillsDatabase security, encryption, threat detection, certifications like CISSP or CISADatabase management, SQL, performance tuning, certifications like Oracle DBA or Microsoft Certified
Work EnvironmentRemote, often in cybersecurity or IT security teamsOn-site or remote, in IT or database teams
Industry UsageFinancial services, healthcare, tech companies emphasizing securityAny industry managing large databases, including finance, retail, healthcare

The Telecommute Database Security Engineer primarily focuses on protecting database systems from security threats, while the Database Administrator manages daily database operations and performance. Both roles may require similar certifications and can work remotely, but their core responsibilities differ significantly in scope and focus.

Infographic showing various Telecommute Database Security Engineer job openings in Tooele, UT as of July 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $114,644 per year, or $55.1 per hour.

Software Engineer - AI

Lightspeed DMS

South Jordan, UT

Full-time

Re-posted 6 days ago


Job description

We are an innovative and collaborative team looking to be at the forefront of AI-powered software development. We're seeking Software Engineers - AI who are passionate about leveraging artificial intelligence to accelerate development, enhance code quality, and solve complex technical challenges. This role requires professionals who embrace AI-assisted coding workflows, prompt engineering, and modern development practices while maintaining excellence in traditional software engineering fundamentals. Ideal candidates thrive in fast-paced environments and are excited about the intersection of AI and software development.

What you'll do:
  • Leverage AI coding assistants (Claude, GitHub Copilot, or similar) to accelerate development, refactoring, and code review processes
  • Collaborate in Agile teams to refine requirements, estimate tasks, and contribute to sprint activities with AI-enhanced productivity
  • Design and implement software solutions using object-oriented principles, ensuring reusability, scalability, and maintainability
  • Develop clean, efficient, well-documented code with AI assistance while maintaining high standards of code ownership and understanding
  • Utilize AI tools for automated testing, test case generation, and maintaining comprehensive unit test coverage
  • Participate in AI-assisted code reviews, focusing on architecture decisions, logic validation, and security considerations
  • Work closely with business, product management, QA, and hosting teams to facilitate smooth rollouts across AWS environments (development, staging, production)
  • Manage and optimize CI/CD pipelines with AI-enhanced automation for build, test, and deployment processes
  • Apply prompt engineering techniques to maximize effectiveness of AI coding tools for your specific development tasks
  • Use team tools including Jira, GitLab, SwaggerHub, Bruno, and AI platforms for project tracking, version control, API documentation, and testing
  • Maintain comprehensive documentation in Confluence, leveraging AI to keep resources current and accessible
  • Contribute to team knowledge sharing on AI tool best practices, effective prompts, and AI-assisted development workflows
What you should have:

Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or related field with 3-5 years of development experience, including 1+ years of agentic AI development experience; or equivalent experience in lieu of a degree
  • Proficiency in Python and Java (3-5 years each), with hands-on experience in AWS cloud environments
  • Demonstrated experience using agentic coding tools (Claude Code, GitHub Copilot, Cursor, or similar), including the ability to critically evaluate, validate, and debug AI-generated code
  • Strong computer science fundamentals, including data structures, algorithms, object-oriented design, and software architecture principles
  • Proven experience with Agile and Scrum methodologies in fast-paced development environments
  • Experience developing and integrating RESTful APIs with proficiency in SQL and relational databases
  • Understanding of distributed systems and microservices architecture
  • Working knowledge of Linux/Unix operating systems and command-line tools
  • Strong communication and collaboration skills, with a growth mindset and ability to prioritize effectively in a fast-paced environment

Preferred Qualifications:

  • Experience with prompt engineering and optimizing AI tool outputs for software development tasks
  • Familiarity with test-driven development (TDD) and achieving high code coverage standards, including AI-generated test cases
  • Knowledge of AI model capabilities, limitations, and best practices for AI-assisted development
  • Experience integrating front-end and back-end systems with modern architectural patterns
  • Proficiency with modern databases (PostgreSQL preferred) and microservices architecture
  • Knowledge of containerization and orchestration technologies (Docker, Kubernetes)
  • Experience with infrastructure as code (Terraform) and DevOps practices
  • Understanding of code quality tools, static analysis, and automated security scanning
  • Contributions to open-source projects or technical blog posts demonstrating AI-assisted development expertise