Senior Software Engineer, Analytics and Reporting Solutions ⭐
Hybrid Toronto Full-time Senior Software Engineering
At a glance
Senior Software Engineering role at Achievers. Toronto · full-time · CA$117,000–CA$160,000 base.
SalaryStated by Achievers
CA$117,000 – CA$160,000
Base salary for this role, in CAD per year, as published in the posting.
This role, from AchieversOur estimate for the market: CA$130,000–CA$172,500Median CA$154,350
The range includes the market median of CA$154,350 for senior software engineering roles in Toronto.
Worked out from 89 postings that stated pay, median CA$154,350. Last updated Oct 24, 2026.
RoleSoftware Engineering
SenioritySenior
LocationToronto
WorkplaceHybrid
EmploymentFull-time
Base payCA$117,000–CA$160,000
PostedApr 28, 2026 · 5mo ago
Role brief
techroles summary, based on the employer's posting.
What you'll do
- Build and maintain backend services for reporting, analytics, data exports, and data-driven product features
- Create APIs that connect internal and external business intelligence tools with the services
- Shape data models and transformations for dimensional analysis and interactive visualizations
- Work with product, data, and engineering teams on insights and AI-powered features
- Guide junior engineers and contribute to code reviews, architecture decisions, and agile planning
What you bring
- At least five years building backend software in enterprise settings, focused on analytics, reporting, exports, or insight features
- A bachelor’s or master’s degree in computer science or a related discipline
- Strong systems design skills, including experience with complex distributed systems and their performance, scale, and resilience
- Hands-on ability with server-side languages such as Python, PHP, or Go, plus cloud services and relational or NoSQL databases
- A solid grasp of analytics modeling and transformation, API design, data privacy, and governance
Who this fits
This senior role suits a backend engineer who wants to shape reporting and analytics services, guide junior teammates, and influence technical direction. The position is hybrid, with time in the Toronto office.
From the employer
Our Data Intelligence team builds backend services that turn data from our SaaS platform into high-value, actionable insights for our customers. We’re transforming the way data is used at Achievers, delivering high-impact, intelligent services that redefine how work gets done. Our tech stack leverages microservices built with Python and Go, running on GCP and Kubernetes. We're creating smoother, smarter, and more delightful experiences for our users, and we're solving real engineering problems at scale.
Note: this is not a Data Engineering position
Why you'll love this role:
- Lead high-impact initiatives that shape how millions of people experience work around the world.
- Bring your unique perspective to complex and challenging projects - apply your expertise in architecture, influence technical direction, and mentor fellow team members.
- Join a close-knit, no-ego, high-performing team that solves meaningful problems and celebrates successes together.
- Work alongside an experienced leadership team who is genuinely invested in your career growth.
- Thrive in a fast-paced, high-growth environment where innovation is encouraged and your voice truly matters.
How you'll shape Data Intelligence at Achievers:
- Design, develop, and maintain backend services that support reporting, analytics, data export, and data-driven product features
- Collaborate closely with product, data, and engineering teams to deliver actionable insights and AI-powered features that enhance user experience and decision-making
- Design and implement well-structured APIs to integrate with internal and external BI tools (e.g., Looker, Tableau, Power BI)
- Apply strong data modeling and transformation techniques to support dimensional analytics and interactive visualizations
- Ensure data quality, governance, privacy, and compliance standards are met across all systems
- Participate in code reviews, technical design discussions, and architecture planning
- Provide mentorship and technical guidance to junior engineers
- Continuously research and experiment with new tools, frameworks, and technologies to drive innovation and efficiency
- Contribute to agile development cycles, including sprint planning, estimation, and retrospectives
Experience we feel will set you up for success:
- Bachelor’s or Master’s degree in Computer Science or a related field
- 5+ years of backend software engineering experience in enterprise environments, with a focus on reporting, analytics, and data-driven features such as data export and insights
- Expertise in Systems Design with proven ability to design complex, distributed systems at scale, with attention to performance, scalability, and fault tolerance
- Strong understanding of analytics fundamentals, including dimensional data modeling, data transformation, and data visualization best practices
- Experience with cloud platforms (GCP, AWS, or Azure) and cloud-based data warehousing (preferably Google BigQuery)
- Proficient in server-side programming languages such as Python, PHP, or Go
- Solid experience with relational and NoSQL databases (e.g., MySQL, MongoDB), including schema design, data modeling, and performance tuning
- Familiarity with streaming or near real-time data ingestion technologies (e.g., Kafka, Pub/Sub)
- Strong understanding of RESTful API design and integration with BI and analytics tools (e.g., Looker, Tableau, Power BI)
- Proficient with data serialization formats such as JSON, CSV
- Knowledge of data privacy, security, and governance best practices
- Experience with agile software development methodologies (e.g., Scrum, Kanban)
- Ability to lead technical discussions, mentor junior engineers, and collaborate effectively with cross-functional teams
- Strong analytical and problem-solving skills with attention to detail and code quality
- Proactive in exploring and adopting new technologies, frameworks, and APIs
- Excellent verbal and written communication skills in English
- Experience integrating applications with AI/ML systems is a plus