Mqreferrals

Mqreferrals

Senior Integration Engineer - Tokenization

Remote, USA · Senior

Sponsorship not specified$113k-$141kDetected 5 days ago
SQLDatadogAccount ManagementOnboardingMentoring

About the role

  • This role can be performed remotely in the United States, only in one of our Premium or National locations, which you can review here.
  • When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location.

Nice to have

  • A tier for the most expensive working areas, like the San Francisco Bay area and New York City.
  • Visit this page or consult with a Recruiter to determine which tier would be applicable to you.
  • Balance the big picture and the details - spotting downstream impacts or "gotchas" before they happen, while also handling precise, hands-on tasks with minimal oversight
  • Serve as a tokenization technical resource for delivery and onboarding teams, and as the "voice of the customer" in external engagements
  • Communicate confidently and clearly, balancing best practices, regulatory constraints, and Marqeta's evolving platform capabilities
  • Experience with Bruno or Postman.
  • SQL and Datadog are a plus
  • Ability to understand complex enterprise requirements and communicate technical concepts clearly (verbally & in writing), tailoring recommendations based on customer needs and evolving offerings

Compensation

  • To support Flex First, we calibrate pay to a competitive value according to working location.
  • Annual "development dollars" to support our people growth and development

Benefits

  • Multiple health insurance options
  • Flexible time off - take what you need
  • Retirement savings program with company contribution and after tax contributions
  • Equity in a publicly-traded company and an Employee Stock Purchase Program
  • Family-forming benefits, fertility support, and up to 20 weeks of Parental Leave
  • Monthly stipend to support our remote work model

This listing is sourced directly from Mqreferrals's careers page and normalized into a canonical job model.