As Marqeta’s Software Engineer I - Data Infrastructure, you will build and maintain critical data lakehouse infrastructure that powers analytics and AI capabilities across Marqeta. Working with modern cloud technologies including S3, Airflow, Kafka, and Spark, you'll develop your engineering skills while contributing to platforms processing billions in monthly transaction data. This role offers hands-on experience with distributed systems at scale under the mentorship of senior engineers.

Reporting to the Manager of Data Infrastructure within our Data & ML Platforms organization.

At Marqeta, participation in a rotational on-call pager duty is a required part of the software engineering role. The specifics of the rotation may vary by team, depending on team size and structure, and will be discussed further during the interview process.

We work Flexible First. This role can be performed remotely anywhere within the provinces of British Columbia or Ontario, Canada. We’d love for you to join us!

The Impact You’ll Have

• Write clean, well-tested Python code for data pipeline components and infrastructure automation tools
• Support data lakehouse infrastructure including S3 storage, Airflow orchestration, and Spark compute environments
• Participate in on-call rotation, learning to debug and resolve data pipeline issues with senior engineer guidance
• Contribute to monitoring and observability improvements for data infrastructure reliability
• Create and maintain technical documentation, runbooks, and operational procedures
• Collaborate with data scientists and analysts to understand infrastructure requirements and deliver solutions

Who You Are

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
• Proficiency in Python with understanding of software engineering fundamentals
• Strong problem-solving skills with attention to detail and data quality
• Eagerness to learn distributed systems, cloud infrastructure, and data engineering at scale
• Clear communication skills and comfort asking questions in a collaborative environment
• Interest in building reliable, scalable systems that enable data-driven decision making

Nice-To-Haves

• Exposure to AWS services (S3, EC2, IAM) or other cloud platforms
• Experience with Linux/Unix, shell scripting, and command line tools
• Familiarity with Git, CI/CD pipelines, and infrastructure-as-code
• Academic or personal projects involving Apache Spark, Kafka, or similar technologies
• Understanding of data structures, algorithms, and distributed computing concepts

Typical Process

• Application submission
• Recruiter video call
• Coding interview
• Virtual "Onsite" consisting of 2-3, 60 min video calls
• Offer!

This position is for an existing vacancy.

Compensation and Benefits

Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location. 

When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position, reflected in CAD,  is: 76,300 - 95,400.

We also believe in recognizing the contributions of our people. That's why we award annual bonuses to eligible employees, rewarding both individual performance and the success of the entire company.

Along with monetary compensation, Marqeta offers

• Multiple health insurance options
• Flexible vacation time
• Retirement savings program with company contribution
• Equity in a publicly-traded company 
• Monthly stipend to support our remote work model
• Annual “development dollars” to support our people growth and development
• Family-forming benefits and up to 20 weeks of Parental Leave