Title: Intermediate Python Engineer Backend and DataFocused

Type: 6-Month Contract (high likelihood of extension; aligned to 12–18-month roadmap)

Location:  Toronto, ON- Mon–Thurs Onsite (4 days/week), 37.5 hours/week

Start Date: ASAP

Interview Process: Approx. 2 rounds – 1 virtual technical + 1 onsite/team fit

Compensation: $55-$60/hour

Day-to-Day Responsibilities:

• The Python Engineer will focus on developing and maintaining backend services that support a high-availability, SLA-driven system.
• A large portion of the role involves working with an existing Python codebase—debugging, enhancing, and modularizing components as the team transitions the system into a broader ecosystem.
• They will work heavily with data, including writing and optimizing SQL queries, performing data validation, and supporting reconciliation workflows tied to trading operations.
• The engineer will also contribute to improving system reliability and data quality, troubleshooting production issues, and ensuring the platform meets strict SLA requirements.
• Additional responsibilities include collaborating with team members to distribute system knowledge, contributing to design discussions, and supporting cloud-based infrastructure (primarily AWS).

Must-Haves:

• 2–5 years of professional experience in software engineering (not entry-level)
• Strong hands-on experience with core Python (beyond just frameworks)
• Solid SQL skills (joins, data validation, debugging queries)
• Experience with AWS or similar cloud platforms
• Understanding of backend service development and system fundamentals
• Exposure to data engineering concepts (data pipelines, transformations, data quality)
• Strong debugging and problem-solving skills
• Ability to work in a fast-paced, production-critical environment

Pluses:

• Experience with high-availability or low-latency systems
• Exposure to capital markets / public markets
• Experience working with systems that have strict SLAs
• Familiarity with distributed systems or large-scale data platforms
• Experience working on data-intensive applications

We may use AI-enabled and/or automated tools to support parts of our recruitment process, including application screening, interview scheduling, and candidate communications. These tools are used to enhance consistency and efficiency. All hiring decisions involve human review and are not based solely on automated processing.

The Company offers a total rewards package in accordance with all applicable federal, provincial, and local laws and requirements. Benefit eligibility and offerings vary based on role, employment status, and work location. For contractor positions, benefits are limited to those entitlements and protections required by applicable law, which may include (as applicable) vacation pay, public holidays, leaves of absence, and other legally mandated benefits or payments.