Data specialist • markham on
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At Workada, we're not just labeling data, we're helping improve the technology people use every day.Our work creates the examples and feedback that make advanced systems more accurate, consistent, ... Show more
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Experience: 3 years to less than 5 years.Estimate amount and costs of supplies and food items.Maintain records of food costs, consumption, sales and inventory.Demonstrate new cooking techniques and... Show more
About PureFacts Financial Solutions
PureFacts is the leader in the Revenue Performance Management category for wealth and asset management firms. The PureRevenue™ Platform helps organizations maximize revenue potential by connecting pricing, billing, compensation, advisor behavior, and AI-powered intelligence within a single Revenue Book of Record. By transforming fragmented revenue processes into a coordinated growth system, firms gain greater visibility, stronger pricing discipline, improved revenue capture, and more effective advisor alignment. The result is faster organic growth, improved profitability, and increased enterprise value. For more than 25 years, PureFacts has helped leading financial institutions turn revenue from an operational process into a strategic advantage.
At PureFacts, we are building an AI-native platform and company. We embed AI, intelligent automation, and agentic workflows across our products and operations to detect anomalies, surface insights, streamline repetitive work, and support faster, better decision-making. In a highly regulated industry, we believe AI must be practical, governed, and auditable—amplifying human expertise while helping our teams and clients focus on higher-value, strategic work.
About the role
We are looking for a Data Engineer who will play a key role in building, maintaining, and optimizing our data pipelines and infrastructure. You will work closely with data scientists, analysts, and other engineers to ensure the reliable and efficient flow of data across our systems. This role offers an opportunity to develop your skills in Snowflake, Azure, and DBT within a collaborative environment.
What you'll do
Qualifications
Bonus Points (Nice to Have)
The pay range for this role is:
130,000 - 150,000 CAD per year(Toronto, Canada)
PIf34c78f1b5b8-30511-41175414
