Data Scientist jobs in Canada

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At Coinme, we're redefining access to financial services in a digital world. By combining the cutting-edge power of blockchain technology with everyday simplicity, we make digital currencies accessible and usable for all.

As the world's largest network of cryptocurrency kiosks, we're breaking down barriers to crypto adoption, enabling cash-to-crypto transactions at over 40,000 locations nationwide. Whether it's through our seamless mobile app, secure digital wallet, or integrations with Decentralized Finance (DeFi) services, Coinme is empowering individuals to store, trade, and pay with their money—on their terms.

We're big enough to lead the charge in decentralized finance but small enough that your ideas will make waves. Every role at Coinme contributes to building a financial future where everyone has the tools to thrive. At Coinme, your growth fuels our mission. Together, we RISE.

Coinme is hiring a Senior Data Engineer to elevate our growing Data & Analytics team. As a Senior Data Engineer, you will lead the design, development, and implementation of robust data solutions, ensuring the seamless integration and scalability of our data infrastructure. Your expertise will drive our team to deliver cutting-edge analytic solutions that empower business decisions.

What You'll Be Working On :

• Design, develop, and maintain scalable data pipelines for ingesting, processing, and transforming large volumes of data from various sources
• Implement data ingestion frameworks to efficiently collect data from internal and external sources Optimize data pipelines for performance, reliability, and scalability
• Develop and deliver scalable, unit-tested data assets and products that empower analysts and drive business workflows
• Evaluate and continuously improve existing data products and solutions for performance, scalability and security
• Experience in data quality management, including software implementation for data correction, reconciliation, and validation of data workflows to ensure accuracy and integrity in the data warehouse Collaborate with engineers, data scientists, and product managers to analyze edge cases and plan for architectural scalability
• Lead the deployment and maintenance of multiple data solutions such as business dashboards and machine learning models
• Champion best practices in data development, design, and architecture
• Conduct comprehensive code reviews, providing mentorship and meaningful feedback to junior team members
• Collaborate with other team members to create and maintain process documentation, data flows, and ETL diagrams for both new and existing data pipelines and processes
• Monitor data pipelines for performance, reliability, and security issues
• Implement logging, monitoring, and alerting systems to detect and respond to data-related issues proactively
• Drive the team's Agile process, ensuring high standards of productivity and collaboration

What We're Looking For :

• Bachelor's or Master's degree in Engineering, Computer Science, or a related field
• 7+ years of experience with ETL, SQL, PowerBI, Tableau, or similar technologies
• Strong understanding of data modeling, database design, and SQL
• Experience working with Apache Kafka or MSK solution
• Extensive experience delivering solutions on Snowflake or other cloud-based data warehouses, and generally an understanding of data warehousing technologies and event-driven architectures
• Proficiency in Python / R and familiarity with modern data engineering practices
• Strong analytical and problem-solving skills with a focus on delivering high-quality solutions
• Experience with machine learning (ML) and building natural language interfaces for business data
• Proven track record in a fast-paced Agile development environment
• Ability to work autonomously while effectively engaging with multiple business teams and stakeholders

Not Required, But Nice to Have :

• Experience with cloud platforms, specifically AWS, and tools such as Firehose, Apache Airflow, Kinesis, S3, Lambda, Sage Maker and Forecast
• Experience in fintech or a strong understanding of financial systems
• Passion for cryptocurrency and blockchain technology

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Information Technology

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