Senior Software Engineer – Data Intelligence
| Company | Achievers |
|---|---|
| Location | Toronto, ON, Canada |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Senior |
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
- 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
Responsibilities
- 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
Preferred Qualifications
- Experience integrating applications with AI/ML systems is a plus