Senior Data Engineer

Senior Data Engineer 

Type: Full-time/ Part-Time

Work arrangement: Remote

Location: Ontario

Experience: Minimum of 7 years experience

About BrainyYack

Founded in 2006, BrainyYack is a technology, AI, and digital product consultancy headquartered in Toronto. For nearly two decades, we have partnered with growth-focused and enterprise organizations to design and deliver the software, AI systems, and digital experiences that move their businesses forward.

Our work spans custom software engineering, intelligent AI agents and automation, scalable platforms, and enterprise digital transformation. We specialize in turning fragmented, underused data into structured, intelligent systems, enabling clients to operate with greater speed, efficiency, and measurable return, without disrupting what already works. Across financial services, retail, healthcare, education, manufacturing and more. Organizations trust us to bring complex, high-stakes ideas to life.

At our core, we are a firm where engineering excellence, creativity, and genuine business impact meet and where the people who build with us do work that reaches real users and real outcomes.

The people who thrive here

We look for professionals who take ownership of their work, hold a high bar for quality, and care about the outcome a client is trying to achieve not just the task in front of them. Our strongest people are clear communicators who work well directly with clients, perform across multiple projects, and bring both craft and judgment to everything they build.t

About the Opportunity

We're hiring a Senior Data Engineer to own the data foundation behind that work.

You'll design and build the pipelines, integrations, and data models that feed our clients' AI and analytics products — working across several client projects at once, taking data from messy source systems through to something reliable that drives real decisions and predictions.

This is a senior, hands-on role for someone who has already done this in production not in theory. We care far more about what you've actually built and shipped.

You'll do well here if you:

• Have several years building and running production data pipelines and integrations, end to end;
• Own your work with little hand-holding, and can juggle more than one project at a time;
• Can speak directly with clients and explain technical trade-offs in plain language;
• Hold a high quality bar even under deadline pressure; and
• Work well in a fully remote, distributed team.