Experian
Senior Endpoint Systems Engineer - (Hybrid Allen, TX)
Allen, TX, United States · Senior
Sponsorship not specifiedDetected 1 day ago
PowerShellAzureCybersecuritySystems EngineeringCommunication
About the role
- We have an amazing team of 25,200 people in 32 countries.
Responsibilities
- Implement and enhance Microsoft Intune and Autopilot solutions for endpoint management and device provisioning.
- Deploy, manage, and maintain applications, updates, and endpoint configurations across managed devices.
Skills
- Experian is a global data and technology company, powering opportunities for people and businesses around the world.
- Experian invests in people and new advanced technologies to unlock the power of data.
- This is a hybrid position, based out of our Allen, TX office.
Compensation
- Our compensation reflects the cost of labor across several U.S. geographic markets.
- The base pay range for this position is listed above.
- Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education.
- You will be also eligible for a variable pay opportunity.
Benefits
- Great compensation package and bonus plan
- Core benefits including medical, dental, vision, and matching 401K
- Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
- Explore all our exciting benefits here: https://myexperianbenefits.com/
- Flexible work environment, ability to work remote, hybrid or in-office
Company info
- Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process.
Equal opportunity
- Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities.
Apply directly at Experian →Create a free account for alerts like thisView Experian immigration profile
This listing is sourced directly from Experian's careers page and normalized into a canonical job model.