Senior Data Engineer

Marqeta; Toronto; Remote; CAD 112,000 - 141,000; Full time

Job summary

Marqeta is seeking a Senior Data Engineer to join their Data Science team in Toronto. In this role, you will build scalable data pipelines and automate processes to ensure accurate transaction data. With 5+ years of experience and strong skills in SQL and Python, you will drive essential data initiatives in a flexible, remote work environment.

Benefits

Multiple health insurance options

Flexible time off

Retirement saving with company contribution

Equity in a publicly-traded company

Monthly stipend for remote work

Annual development dollars for growth

Up to 20 weeks of Parental Leave

Qualifications

• 5+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience analyzing and interpreting data with Snowflake, Oracle, NoSQL.

Responsibilities

• Build resilient, scalable data pipelines for accurate and timely fund movements.
• Drive automation across the data lifecycle—pipelines, quality checks, lineage tracking.
• Partner with data analysis teams for easy access to reliable data.

Skills

SQL

Python

Data Modeling

ETL

Education

Bachelor’s degree or equivalent experience

Tools

Snowflake

Airflow

Oracle

Job description

Join to apply for the Senior Data Engineer role at Marqeta

Join to apply for the Senior Data Engineer role at Marqeta

Marqeta is looking for two Data Engineers (1 Senior, 1 Mid-Level) to join our Data Science team. As a Senior Data Engineer, you will be reporting to the Manager of Data Science, in this role you will be responsible for building resilient, scalable pipelines that ensure accurate transaction data and money movement each day. In this role you should be able to help with process automation through scripts, and you must possess strong SQL and Python skills.

We work Flexible First. This role can be performed remotely anywhere within Canada. We’d love for you to join us!

The Impact You'll Have

• Build resilient, scalable data pipelines to ensure accurate and timely fund movements that are critical to Marqeta’s business
• Drive automation acoss the data lifecycle—pipelines, quality checks, lineage tracking, and anomaly detection
• Partner with data analytis teams to build infrastructure that enables easy access to reliable data for analysis, product development, and business logic implementation
• Work with business stakeholders to solve data-related problems by matching business objectives with existing solutions and ad-hoc analytics
• Build automation through Python scripting or other methods
• Work cross functionally with Product, Tech, Ops, and Bank Partners to progress against business objectives
  
  

Who You Are

• 5+ years of data engineering experience, working with large data sets
• Strong SQL and python skills, including experience with data modeling, warehousing and building ETL pipelines
• 4+ years of analyzing and interpreting data with Snowflake, Oracle, NoSQL etc. experience
• Experience with Git, Snowflake, and Airflow are a plus
• Foundation of integrity and strong character to consistently represent Marqeta’s values
• Self-starter who is a consummate team player and is willing to dive into ambiguous problems
• Ability to communicate, prioritize, and deliver. Highly motivated and able to work in an agile environment.
  
  

Nice-To-Haves

• Experience in payments, financial services, and/or fintech industries
• Bachelor’s degree or equivalent experience.
• Exceptional interpersonal, communication, and influencing skills with the ability to work with stakeholders across different functions and levels, both internally and with partners.
• Startup/high growth company experience with a proven track record of thriving in high-performing teams and fast-paced environments.
  
  

Your Manager

• Shizhen Gu, Data Science Manager
  
  

Recruiter For This Role

• Prashant S.
  
  

Typical Process

• Application Submission
• Recruiter Screening Call
• Hiring Manager Interview
• Coding Interview
• Virtual “Onsite” consisting of 3, 45-60 min calls
• Offer
  
  

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: 112,700 to 140,900

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 time off – take what you need
• 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
  
  

About Marqeta

Marqeta is on a mission to change the way money moves. We’re one of the earliest enablers of embedded finance, a market opportunity sized up in the trillions. Our card issuing platform provides unprecedented flexibility and control for companies to issue cards, authorize transactions, and manage payment operations in real time. Marqeta is powering the most well known brands in the new economy (Block, Cash App, Affirm, Instacart, Doordash, Uber, Walmart, etc). You don’t need to be a Payments expert to join the Marqeta Team, let us help you with that. This is the opportunity of a lifetime to work with innovators around the world and unlock equitable financial access for all.

Marqeta’s Values

– Solve for the Customer: With a deep understanding of our customers' business and empathy for their needs, we deliver products and services that drive their success. Earning and keeping their trust guides everything we do.

– Do What's Right: Knowing businesses and livelihoods depend on us, we pursue solutions that disrupt responsibly and deliver high-quality results that our customers count on. We own our work from start to finish.

– Simplify and Innovate: We approach challenges with curiosity and take smart risks. Innovation comes from finding better, simpler ways to achieve extraordinary outcomes.

– Win as a Team: We succeed together by embracing diverse perspectives and pushing each other to raise the bar. We lead with humility and set aside hierarchy to work as a team.

– Make it Count: We drive forward with focus and agility. With a sense of urgency and purpose, we get the job done, and done right.

Equal Employment Opportunity, Accommodations and Privacy

Marqeta is proud to be an equal opportunity employer that gives consideration to all qualified applicants regardless of race, ancestry, national origin, color, Indigenous, citizenship, religion/creed, sex, sexual orientation, gender identity, gender expression marital status, family status, disability, veteran status, criminal histories consistent with legal requirements, or any other characteristic protected by applicable law.

Our dedication to diversity and inclusion extends beyond the categories above. Review Marqeta’s ESG Report to see that dedication in action. Fostering an environment where everyone feels valued and respected creates a stronger and more innovative team at Marqeta. We celebrate the unique contributions of each individual and empower all members of our organization. Join us in building a company where diversity thrives and everyone can be their authentic selves.

If you require reasonable accommodation for the application process and beyond (including due to a disability), please submit this form and we will be more than happy to assist you. Marqeta will make reasonable accommodations for candidates when needed in accordance with applicable law. The Applicant and Candidate Privacy Notice applies to the personal data that you directly provide to us or that we collect during the application and candidate recruitment process.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

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