About Knotch
We're a growth-stage technology company with over 12 years of helping brands optimize their content performance and harness AI for marketing success. With a fast-paced, agile, entrepreneurial culture, we move quickly, adapt constantly, and thrive in dynamic environments. Through our Knotch platform, we meet our clients where they are and enable them to prove and improve their content. With our newest innovation, AgentC—a managed AI service for marketers—we're transforming how marketing teams plan, adapt, and execute across digital channels.
About the Role
As a Sr Data Engineer at Knotch you will design, build, and maintain data infrastructure that powers business intelligence and analytics. In this role, you'll bridge the gap between raw data and actionable insights by creating robust data pipelines and models. This role is ideal for someone who combines technical excellence with business acumen and thrives in a collaborative environment where data drives decision-making.
How you will add value at Knotch
You will successful if you bring:
Our Benefits and Perks:
Knotch is a US based equal opportunity employer. We strive to provide equal opportunities in all of our processes, including our hiring and employee experience.mWe pride ourselves on our three values: transparency, relentlessness, and inclusiveness.
We commit to daily work towards leading with empathy, reducing bias through periodic training, and engaging with and uplifting communities of marginalized groups. We condemn all forms of racism and discrimination on the basis of race, religion, ethnicity, nationality, gender identity, sexual orientation, age, marital status, pregnancy or parenthood status, veteran status, disability status or any other identifier. We encourage all employees, clients, investors, candidates, vendors, and friends of Knotch to deliver honest feedback directly or anonymously so that we may always seek to improve as an organization that is dedicated to diversity, equity, inclusion, and belonging.
Engineering
Remote (Canada)
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