Senior Data Engineer - Risk, Fraud & Disputes

MQ Referrals Only; Remote; CAD 108,000 - 136,000; Full time

Job summary

A leading financial services company located in Toronto is seeking a Senior Data Engineer to join their Risk, Fraud and Disputes Engineering Team. This pivotal role involves designing and developing data assets for real-time fraud detection and regulatory reporting. Candidates must have over 5 years of experience in data analytics, strong SQL skills, and proficiency in data visualization tools. This position offers flexible work arrangements within Ontario or British Columbia, Canada, and comes with a competitive salary range of CAD 108,800 to 136,000, alongside various benefits including health insurance and equity options.

Benefits

Health insurance options

Flexible vacation time

Retirement savings program

Equity in a publicly-traded company

Monthly remote work stipend

Annual development funds

Parental leave benefits

Qualifications

• Experience in risk, fraud, disputes, payments or financial services.
• Expertise in SQL, including analytical functions and ETL best practices.
• Proficient with modern data tooling and capable of designing and scaling workflows.

Responsibilities

• Design and develop scalable data assets for fraud detection and reporting.
• Create high-quality labeled datasets for machine learning.
• Maintain dashboards providing insights into critical KPIs across teams.

Skills

Data analytics

SQL

Risk analysis

Data visualization tools

Machine learning

Data engineering

Analytical intuition

Education

5+ years in data analytics, data science, or data engineering

Tools

Looker

Tableau

Python

R

Airflow

dbt

Job description

Toronto, Canada

As Marqeta’s Senior Data Engineer, you will join our Risk, Fraud and Disputes Engineering Team. In this cross‑functional and strategic role, you will own the design and development of scalable, reliable data assets that drive real‑time fraud detection, dispute operations, and regulatory reporting. You will be instrumental in bridging data engineering with analytical needs, enabling high quality decisions through structured, labeled data and actionable insights using machine learning models.

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

The Impact You’ll Have

• You will partner with Risk, Fraud and Disputes Engineers and Product Managers to deeply understand business needs and translate them into actionable data‑driven solutions.
• You will lead the creation of high‑quality labeled datasets that power supervised machine learning, rules‑based fraud detection and predictive chargeback modeling.
• You will collaborate closely with Machine Learning and Backend Teams to productionize data assets and enable scalable, reliable decisioning systems.
• You will analyze large‑scale transactional, fraud and chargeback datasets to surface trends, detect anomalies and support deep‑dive investigations (e.g., Chargeback win/loss rates, Fraud rates, anomalous Merchant behaviour, etc.).
• You will build and maintain real‑time dashboards and reporting mechanisms that provide leadership, operations and product teams with visibility into critical KPIs across Risk, Fraud and Disputes.
• You will identify and recommend data improvements to strengthen fraud and chargeback detection capabilities and reduce false positives and false negatives.
• You will act as a domain expert on fraud and dispute data, supporting internal investigations and responding to customer‑facing data queries with clarity and accuracy.
• You will partner with Finance and Operations to answer business‑critical questions related to dispute performance, costs and trends.
• You will collaborate with Engineering to design, validate and maintain Airflow pipelines and ETL workflows that support scalable and resilient data infrastructure.

Who You Are

• You bring 5+ years of experience in data analytics, data science, or data engineering, ideally in risk, fraud, disputes, payments or financial services and are comfortable driving outcomes with limited direction.
• You are an expert in SQL, including analytical functions, performance optimization, and ETL best practices and consistently elevate data quality and efficiency.
• You have deep domain expertise in risk and fraud signals, dispute patterns or related behavioral datasets, and can proactively support emerging risks or anomalies.
• You demonstrate strong analytical intuition and can transform ambiguous business questions into structured, impactful analyses and actionable recommendations.
• You have significant experience with data visualization tools (e.g., Looker, Tableau) and can translate insights into dashboards and narratives that influence decision‑making.
• You excel at shaping technical solutions, data models, and architectures that support robust analytics and scalable ML/data applications.
• You are comfortable operating in ambiguous, fast‑moving environments and can balance precision with urgency in high‑stakes decision contexts.
• You communicate with clarity and influence, and collaborate effectively with cross‑functional leaders across Product, Engineering and Operations.
• You are proficient with modern data tooling (e.g., Airflow, dbt) and understand how to design, maintain, and scale ELT/ETL workflows.

Nice‑To‑Haves

• Experience labelling data for Machine Learning models or partnering with Machine Learning Engineers on future creation.
• Understanding of card network chargeback rules, fraud reason codes, or dispute lifecycle.
• Experience with Python or R for advanced analytics or light Machine Learning tasks.

This position is not 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: 108,800 - 136,000.

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

MQ - EEOC Voluntary Questions

At Marqeta, we strive to live our value of “Win as a Team,” where we seek various opinions and experiences as we build opportunities around equity, inclusion, and belonging. We ask candidates to respond to the below self‑identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. As set forth in Marqeta’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Any information that you do provide will be anonymized and reviewed, strictly in aggregate, to find ways to improve our recruiting processes. To learn more about our job applicant privacy policy, please visit our website.

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