Join to apply for the Senior Data & Analytics Engineer role at Wagepoint . We’re a diverse team who bring our backgrounds, ideas, experiences and cultures together to make payroll magic. We serve thousands of small business owners across Canada who rely on our payroll software to pay their employees and process their payroll taxes.

We share a commitment to our customers and to delivering high-impact work. Wagepoint is a remote company and values collaboration, accountability and continuous learning. We’re looking for a talented Senior Data & Analytics Engineer who tackles complex data challenges and builds scalable, high-performance data systems.

You’ll shape how Wagepoint collects, transforms, and visualizes data to drive smarter business decisions across the organization. You’ll design and implement data pipelines, architect analytical dashboards, and ensure our data systems are fast, reliable, and secure. You’ll report directly to our Engineering leadership team and collaborate with Analytics, Product, and Business Intelligence partners.

Design, develop, and optimize scalable, cloud-native data pipelines capable of processing millions of records per day. Build automated ETL/ELT workflows and validation layers that ensure high data quality and minimal manual intervention. Develop and maintain data models, data lakes, and warehouses (primarily in Azure) that support analytics, BI, and AI/ML workloads.

Create and optimize analytical dashboards and reports in Power BI or Tableau, ensuring fast query performance and low-latency reporting. Standardize and document data definitions, maintain an up-to-date data dictionary , and ensure consistency across all sources. Monitor and tune data workflows, improving efficiency and scalability.

Implement robust data validation frameworks and real-time monitoring to identify and resolve quality issues at the source. Partner cross-functionally with data scientists, analysts, and engineers to deliver accessible, trusted data that supports business needs. 7+ years of experience in data engineering,



ETL/ELT development, and analytics reporting . ~ Proven expertise in tools such as Apache Airflow, dbt, Spark, Databricks, Snowflake, and Kafka . ~ Advanced proficiency in Python and SQL for data transformation and analysis. ~ Strong experience working with cloud platforms (especially Azure) — Data Lake, Synapse, CosmosDB, etc. ~ Deep understanding of data modeling, warehousing, and scalable architecture . ~ Solid grasp of data governance, security best practices , and compliance frameworks. ~ Demonstrated ability to design for monitoring, testing automation, and operational excellence . ~ Experience supporting BI tools like Power BI, Tableau, or D3.js. ~ You’ve implemented or scaled real-time data pipelines for analytics or AI/ML. ~ You’re passionate about data automation, observability, and quality frameworks . ~ You’ve built metadata repositories or data lineage systems . ~ You thrive in cross-functional environments and love enabling self-serve analytics for non-technical users. ~ You’re a Power BI or Tableau guru who enjoys designing visually engaging and performant dashboards.

Remote: The ability to work from home, forever! Wagepoint is a remote company, so you don’t have to worry about commuting to an office. Plus, more time with your pets is always a bonus! Apply now and help us build the future of Wagepoint!

We are a remote company, so there’s no need to travel to an office for an interview, but if you require any special accommodation during our recruitment process, please let us know. We are more than happy to assist! This job posting is for an existing vacancy.

As part of our hiring process, AI-based tools are used to support the initial review of applications. Mid-Senior level Full-time Information Technology and Engineering Financial Services, Human Resources Services, and Software Development Get notified about new Data Engineer jobs in Canada .

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📌 Senior Data Analytics Engineering / Operations (Edmonton)
🏢 Wagepoint
📍 Edmonton