Senior Software Engineer, Data - Mapping

Responsibilities

• Own core data pipelines end-to-end, building subject-matter expertise and defining and managing SLAs for pipelines, services, and datasets.
• Lead architecture and technical direction for offline experimentation and route simulation services.
• Evolve data models and schemas to meet business and engineering requirements.
• Develop AI tools for self-service ETL pipeline management and schema evolution.
• Tune SQL queries to optimize high-volume data processing.
• Write scalable, cost-efficient, well-tested, and maintainable code.
• Participate in code and architecture reviews.
• Manage on-call rotations and improve team processes.
• Mentor colleagues and promote engineering best practices.

Requirements

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
• 5+ years of professional experience in backend or data engineering with large-scale distributed systems.
• Strong experience with Spark and a scripting language such as Python, Ruby, or Bash.
• Experience with distributed storage, querying, and streaming technologies.
• Strong SQL skills and advanced performance-tuning experience with high-volume event data.
• Experience diagnosing and resolving data-quality issues in complex datasets.
• Experience with workflow orchestration and infrastructure tooling, preferably in an AWS context.
• Experience designing API schemas and building backend services in a microservices architecture.
• Proficiency using AI tools to accelerate coding and engineering workflows.
• Excellent communication and cross-functional collaboration skills.

Nice-to-haves

• Experience with LLM orchestration or vector databases.
• Experience with experimentation or simulation platforms and large-scale A/B testing infrastructure.

Compensation and Benefits

• Base pay range: CAD $136,000–$170,000 in the Toronto area, excluding potential equity, bonus, and benefits.
• Extended health and dental coverage, life insurance, and disability benefits.
• Mental health, family building, child care, and pet benefits.
• Lyft-funded Health Care Savings Account.
• RRSP plan with company match.
• Flexible paid time off for salaried team members.
• Paid parental leave, subsidized commuter benefits, and Lyft ride credits.
• Hybrid schedule requiring at least three days per week in the office.