Senior Data & Analytics Engineer

Wagepoint

Canada

Remote

CAD 115,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Professional development opportunities

Remote work environment

Collaborative team culture

Job summary

A leading payroll software company in Canada is seeking a Senior Data & Analytics Engineer to tackle complex data challenges and build scalable data systems. The ideal candidate will design and implement data pipelines, work with cross-functional teams, and ensure data reliability. This role offers a competitive salary range of CA$115,000 to CA$150,000, with opportunities for growth in a remote work environment.

Qualifications

7+ years of experience in data engineering, ETL/ELT development, and analytics reporting.
Strong experience working with cloud platforms, especially Azure.
Exceptional troubleshooting and problem-solving skills.

Responsibilities

Design and develop scalable, cloud-native data pipelines.
Build automated ETL/ELT workflows ensuring data quality.
Develop and maintain data models, lakes, and warehouses.

Skills

Data engineering

ETL/ELT development

Analytics reporting

Apache Airflow

dbt

Spark

Databricks

Snowflake

Kafka

Python

SQL

Data governance

Data quality

Monitoring

Operational excellence

Self-serve analytics

Tools

Azure

Docker

Kubernetes

Power BI

Tableau

Job description

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$115,000.00/yr - CA$150,000.00/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).
Growth: Opportunities for professional development and career advancement - we are always, always learning with a growth oriented mindset.
Innovation: Work in an environment that encourages creativity and new ideas.
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!

Ready to embark on an exciting journey with us? Apply now and help us build the future of Wagepoint!

Next Steps:

If all the above feels right, please don’t feel like you need to send us an uninspired cover letter. Just send us your updated resume and perhaps a few lines on what excites you about the job - we really want to get to know who you are, not just about how we can work together. If we believe you’re a good match, someone from our team will reach out to schedule a call.

Psssst!

Wagepoint is an equal opportunity employer. We welcome and appreciate all applicants with diverse backgrounds, races, religions, genders, identities, ages, experiences (the list goes on!). We are committed to making not only our workplace safe and inclusive for everyone, but also ensuring our recruitment process reflects that. 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. Rest assured, our People Ops team carefully reviews all applications and makes the final decisions on candidate progression.

Seniority level