Senior Staff Software Engineer

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Join Marqeta: Revolutionize the Future of Finance

Marqeta is on a groundbreaking mission to transform how money moves. As a pioneer in embedded finance, a market opportunity valued in trillions, we offer an unparalleled card issuing platform that provides flexibility and control for issuing cards, authorizing transactions, and managing payment operations in real-time. Our technology powers top brands in the new economy—Block, Cash App, Affirm, Instacart, Doordash, Uber, Walmart, and more. Today, 8 out of 10 Americans use a product powered by Marqeta weekly. This is your chance to collaborate with innovators worldwide and contribute to making equitable financial access a reality for everyone.

About the Data Team

Our Data team is at the heart of developing Big Data technology/services and value-added data products. We create large-scale, secure data platforms in the cloud for data acquisition, processing, enriching, serving, consumption, and governance. Marqeta's payment data is a vital asset, and we invest in machine learning (ML), artificial intelligence (AI), analytics technology, and data products to derive deep insights that empower both internal teams and external customers to grow rapidly and efficiently.

Position Overview: Senior Staff Software Engineer

We are searching for a seasoned and proactive Senior Staff Software Engineer to lead the development of our Data Lakehouse architecture. Reporting directly to the Director of Data, this role involves designing, implementing, and operating software. If you are passionate about big data, large-scale platforms, and data products, particularly within the fast-paced payment domain, this could be your ideal career opportunity.

Location

This role supports our Flexible First initiative, allowing you to work remotely from anywhere in the United States.

Role Responsibilities

  • Develop a vision and strategy for big data technologies and payment data applications, partnering with stakeholders for a Data Catalog, Data Lake, and Data Processing frameworks to build our Data Lakehouse.
  • Hands-on programming in Java, Python, Golang, among other languages, to solve daily operational challenges and build data frameworks and services.
  • Collaborate with team members and partners to tackle technical and business problems, designing scalable, reliable systems for customer needs.
  • Champion innovation and a customer-centric service mindset by leveraging new technologies.
  • Guide and mentor team members on architecture design, diagnostics, and best practices, including automation.
  • Build and lead a high-performing Data team through effective coaching and talent attraction.
  • Define success metrics and SLAs, ensuring operational excellence and delighted customers.
  • Foster strong partnerships with internal stakeholders and external customers.
  • Enhance Marqeta's technology brand through internal and external initiatives.

Requirements

  • 12+ years of industry experience in software development, specializing in Java and big data platforms, with 5+ years in team leadership.
  • Bachelor's degree in Computer Science, Computer Engineering, or equivalent experience; a higher degree is a plus.
  • Proven expertise in Java; Scala is an advantage.
  • Extensive hands-on experience with big data technologies, including Spark, Dynamo, Kafka, and Kubernetes.
  • Strong background in cloud technology, particularly AWS.
  • Skilled in designing scalable, reliable, and performant large-scale systems/platforms.
  • Deep understanding of data management, analysis, processing, and operational excellence.
  • Strong business and technical vision with a customer-centric mindset.
  • Excellent collaboration and partnership skills.
  • Experience with agile methodologies and solving complex problems with simple solutions.
  • Outstanding communication skills, capable of conveying technical and business issues effectively.

Application Process

  1. Submit Application
  2. Recruiter Video Call
  3. Coding Interview
  4. Hiring Manager Video Call
  5. Virtual Onsite Interviews (three 45-60 minute rounds)
  6. Offer

Compensation and Benefits

As a Flex First company, Marqeta offers you the flexibility to work from home or a company office. Our compensation is calibrated to ensure competitive pay based on your working location:

  • National: Standard tier for most U.S. locations.
  • Premium: Higher pay for regions like Los Angeles, CA, and Seattle, WA.
  • Premium Plus: Highest pay for