Agility Technologies Inc

Delivering next generation customer experience

Mid-Level Salesforce Quality Analyst

Full TimeRemoteTeam 11-50Since 2004H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

5 hours ago

Salary

$75K - $79K / year

No structured requirement data.

Job Description

Benefits:
  • 401(k)
  • Dental insurance
  • Health insurance
  • Paid time off
  • Parental leave
  • Vision insurance

Role: Mid-Level Salesforce QA w/Automation Experience (Data Analyst II)
 Location:
Remote (U.S.-based)
Travel: Occasional travel to Washington, DC required
Employment Type: Full-Time
Clearance Requirement: Must be a U.S. Citizen and able to obtain a security clearance


 About Agility Technologies

Agility Technologies delivers modern technology solutions that help mission-driven organizations build secure, scalable, and resilient digital ecosystems. We specialize in enterprise SaaS platforms, systems integration, cloud architecture, and data-driven solutions supporting high-impact operational environments.

We are seeking a Salesforce QA Engineer with automation experience. This role must meet the associated education and experience requirements.

 Role Overview
As a Salesforce QA Engineer, you will support quality assurance efforts across a Salesforce-based enterprise ecosystem, including CRM, portal (Experience Cloud), and integrated systems. You will design and execute manual and automated test cases, validate data accuracy, and ensure system functionality meets business and technical requirements.

This role blends analytical skills with structured testing methodologies to ensure system quality, data integrity, and platform reliability.

 Key Responsibilities

  • Develop and execute manual and automated test cases for Salesforce applications
  • Design and maintain test plans, test scripts, and regression test suites
  • Perform functional, integration, and data validation testing
  • Develop automated test scripts using appropriate automation tools
  • Validate Salesforce configurations, workflows, LWC components, and integrations
  • Identify, document, and track defects through resolution
  • Support User Acceptance Testing (UAT) activities
  • Validate reports, dashboards, and data accuracy across systems
  • Collaborate with developers, analysts, and architects to ensure quality delivery
  • Document testing procedures and results in alignment with change management processes
Required Qualifications

  • Bachelor’s degree in Data Science, Statistics, or a related field
  • 3+ years of experience performing data analysis and data visualization
  • Strong analytical and problem-solving skills with attention to detail
  • Ability to communicate findings clearly to both technical and non-technical audiences
Preferred Qualifications

  • Experience performing QA testing in a Salesforce environment
  • Experience developing and executing automated test scripts
  • Experience validating data using SQL
  • Familiarity with Salesforce objects, workflows, and reporting structures
  • Experience testing web-based applications and SaaS platforms
  • Experience with BI and visualization tools such as Power BI, Tableau, Excel is a plus
  • Familiarity with statistical or analytical language such as Python or R is a plus
  • Experience working with complex datasets across multiple systems or platforms
  • Experience with test automation tools (e.g., Selenium, Provar, Copado Robotic Testing, or similar)
  • Experience testing Lightning Web Components (LWC) and Experience Cloud 
  • Experience supporting enterprise integrations and API testing

Work Authorization & Eligibility Requirements

  • Must be a U.S. Citizen
  • Must be eligible for and capable of obtaining a U.S. Government security clearance
  • Must be currently residing in the United States
  • Must be willing to travel occasionally to Washington, DC for in-person meetings
Why Join Agility Technologies

  • Work on impactful, mission-aligned programs with real-world outcomes
  • Help ensure quality, reliability, and performance in mission-critical systems
  • Opportunity to grow automation capabilities in a modern SaaS ecosystem

This is a remote position.

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