Hybrid Senior Software Engineer – Backend Engineering, Data Intelligence, Reporting

at Achievers

• Job title: Senior Software Engineer – Backend Engineering, Data Intelligence, Reporting
• Job type: Full Time
• Experience level: Senior
• Salary: CA$117,000 - CA$150,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, BigQuery, Cloud, Distributed Systems, Google Cloud Platform, Kafka, MongoDB, MySQL, NoSQL, PHP, Python, Tableau, Go
• Location requirements: Hybrid, Toronto, Canada

About the role

• Senior Software Engineer developing backend services that transform data into actionable insights. Collaborating with cross-functional teams and leading projects in a hybrid work environment.

Responsibilities

• 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.
• 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.

Requirements

• 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

Benefits

• Rewards for your impact through our Recognition and Rewards program
• Health Benefits and Life Insurance Coverage beginning on your first day
• Parental Leave Top-up
• Employer matched RRSP contributions
• Flexible Vacation to recharge, so you can bring your best
• Employee and Family Assistance Program offering mental health, legal, and financial counselling
• Supported professional development and career growth (Linkedin Learning, mentorship)
• Employee-Led Employee Resource Groups that celebrate our diversity
• Regular events designed to build connection, belonging, and well-being
• Hybrid flexibility, with time in our beautiful Liberty Village, Toronto office