Senior Data & Analytics Engineer

Overview  Join to apply for the  Senior Data & Analytics Engineer  role at  Wagepoint .
This range is provided by Wagepoint. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range  CA$/yr - CA$/yr

Who We Are:

At Wagepoint, we’re good people. 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’re growing and looking for more awesome people to join our team. 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.
If you are the kind of person who has always wanted to make a difference and be heard at work, Wagepoint will give you plenty of opportunity to do just that.

The Role at a Glance  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.
What You'll Be Expected To Own:
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.
What You Bring To The Table:
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 .

Experience with  containerization and CI/CD  (Docker, Kubernetes).
Strong 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.
Exceptional troubleshooting, problem-solving, and optimization skills.
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.
What We Bring To The Table:
Impact:  Roll up your sleeves and directly contribute to the growth and success of Wagepoint by shaping our workforce.
Culture:  The opportunity to work with the world’s friendliest team, solving interesting problems together with an endless amount of laughter (We work hard, but we always have time for a bad joke or two).
Gro…