Senior Data & Analytics Engineer

Wagepoint is a small-but-mighty fintech on a mission to make payroll simple (and maybe even delightful). Our online software takes care of the “ugh” stuff — like wage calculations and tax reporting — so 30,000+ small businesses, accountants, and bookkeepers across North America can get back to doing literally anything else. Since 2012, we’ve been making payroll magic happen with the world’s friendliest team : always supportive, never stuffy, refreshingly human.

Who We are :

At Wagepoint, we’re good people. Sure, maybe we’re biased. But that’s only because Wagepointers bring the best versions of ourselves to do some of the best work in our careers.

We’re an authentic team who bring our diverse backgrounds, ideas, experiences and cultures together to make payroll magic. Speaking of, we “pull rabbits out of hats” for thousands of small business owners across Canada who rely on our payroll software to pay their employees and process their payroll taxes. And we’re just getting started.

We’re growing and looking for more awesome people to join our merry band of misfits. We are looking for people who share our understanding that when it comes to our commitment to our customers : we mean business. Especially given that the consequences of getting payroll wrong can sometimes be dire.

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 High Level :

We’re looking for a talented Senior Data & Analytics Engineer who doesn’t shy away from tackling complex data challenges and building scalable, high-performance data systems. You’ll be instrumental in shaping 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 closely 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.

Bonus points if :

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 and proper, 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!