About Cybrid

We’re building a new way for businesses to move money because the old systems are broken. For decades, international payments have been slow, expensive, and trapped in legacy infrastructure. In 2025, stablecoins went mainstream because they finally made "instant” a reality—but for most businesses, they still need help to adopt them.

That’s why we built Cybrid. Our mission is to make it effortless for businesses and consumers to use stablecoins and the digital assets of tomorrow. We provide simple APIs that let fintechs, banks, and enterprises plug into stablecoin infrastructure instantly. Our platform handles the heavy lifting—security, compliance, and banking connections—so our customers can move money globally in minutes.

We’re growing fast and we need your help. We are led by 2x founders who have built and scaled global fintech platforms before, so we know what it takes to build for the long term. We recently raised a $10M Series A to accelerate our mission, and we’re already helping businesses settle payments in 150+ countries at a fraction of the traditional cost.

Stablecoins are the future of the financial internet. We’re building the tools to make that future accessible to everyone.

We are a fast-scaling team of builders and problem-solvers who operate with a clear set of principles:

Empower Every Customer: Their success is our benchmark.
Innovate with Purpose: Solving real-world friction, not just building for "new."
Rise to the Challenge: We lean into the hardest problems in fintech.
Deliver Quality, On Time: Precision and speed are non-negotiable.
Act with Integrity: Trust is our currency.
Debate, Decide, and Execute: High-friction ideas, high-alignment execution.

If you’re ready to supercharge the future of global finance, you’re in the right place.

The Opportunity

We're expanding rapidly and looking for a Senior Data Engineer to define and build the data foundation that powers Cybrid's next chapter. This isn't a maintenance role, it's an opportunity to architect a financial data platform, set the standards for governance and quality, and make AI a first-class collaborator in how we make decisions. This is a chance to build cutting-edge infrastructure, solve complex technical challenges, and shape the future of global payments using the evolving integration of data with AI.

As Cybrid's dedicated data engineer, you'll own the data platform end-to-end: pipelines, warehouse, governance, and the AI-augmented workflows it empowers. You'll work directly with Sales, Finance, Compliance, Risk, and Engineering to turn clean, trusted data into a source for our AI agents to make informed decisions, accurate financial modeling, robust risk assessments, and reliable accounting.

What You’ll Do

Define and implement Cybrid’s data engineering strategy, setting up scalable architecture, governance, and technical standards.
Build and maintain robust ETL/ELT pipelines integrating data from microservices and external systems.
Develop a financial data platform and warehouse to unify transaction data for analytics and reporting.
Implement real-time, event-driven data processing pipelines to power compliance, operations, and agentic business intelligence.
Ensure regulatory compliance with strong data quality, governance, lineage, and security practices.
Partner with Sales, Finance, Risk, and Compliance to design AI-augmented workflows utilizing the data platform.
Build the infrastructure that makes AI safe and useful on financial data: retrieval layers, vector stores, semantic data catalogs, and human-in-the-loop review patterns.
Own and evolve Cybrid’s BI and self-serve analytics layer: build the semantic models, dashboards, and access patterns that let all departments pull trusted data without going through engineering.

What You Bring

Required Skills & Experience:

7+ years of hands-on data engineering experience.
Prior experience with financial services data, crypto, or blockchain integrations.
Expertise in SQL, PostgreSQL, and modern data pipeline frameworks (Airflow, Temporal, Prefect, dbt, etc.).
Proven experience designing and scaling data warehouses and real-time streaming architectures for change data capture (CDC).
Strong background in cloud-based data platforms (AWS, GCP, or Azure).
Knowledge of data modelling best practices in finance.
Knowledge of data quality, governance, and compliance frameworks for sensitive financial data.
Comfort using AI as a daily collaborator in your own work (code generation, query authoring, schema design, documentation) and an interest in scaling that practice across a team.

Nice to Have:

Prior experience in fintech or regulated industries.
Familiarity with modern data stack tools (dbt, Fivetran, Sigma, Looker, Tableau).
Familiarity with dlt for designing managed batch data pipelines.
Experience with Kafka for real-time data pipelines and change data capture upserts.
Exposure to machine learning pipelines, MLOps, or AI-assisted data workflows.
Practical experience integrating AI/LLM workflows into data platforms — RAG over warehouses, semantic data catalogs, agent-driven analytics, or AI-assisted data quality.
Strong knowledge of data security, privacy, and regulatory compliance (e.g., GDPR, PII).
Experience building AI agents that operate against financial systems (reconciliation, classification, anomaly detection) with a human-in-the-loop pattern.

About The Role

This role backfills an existing position. We have a preference for candidates based in Toronto or Ottawa, though we remain open to strong candidates in other locations in Canada. Cybrid’s team uses automated tools and artificial intelligence throughout our recruiting process, including for note-taking during interviews and to support the review of take-home exercises.

The base salary range for this role is: Canada: CAD $145,000 – $185,000. Compensation will be based on your experience, skills, and the unique strengths you bring to the team. We take a thoughtful approach to levelling and internal equity when determining offers.

The Process

At Cybrid, our interview process is designed to be transparent, efficient, and thorough, moving from an initial HR alignment call through a hiring manager deep-dive and cross-functional stakeholder reviews to ensure we find the perfect balance of technical expertise and culture fit.

These are the steps in our hiring process:

Pre-Screen Interview with a member of our Talent team (Virtual)
Hiring Manager Interview (Virtual)
Technical Interview (Virtual)
Culture Interview (Virtual)
Founder Interview/Final Interview (On-site in Toronto or Ottawa)

Why Join Cybrid

🤝 Build with Fintech Pioneers: People join Cybrid to build alongside pioneers who have shaped how millions of people move money. Our DNA is a rare blend of high-stakes security, AI-lending, and global financial technology.
🌱 High Velocity Career Growth: Own your domain and have the opportunity to grow your career by taking on real responsibilities and making an impact as we continue to scale quickly.
💰 Equity Ownership: We’re a Series A, VC-backed company, and we believe in shared success. We offer employees equity in Cybrid, ensuring you have a real stake in the future we are building together.
🏥 Comprehensive Wellness: Your well-being is our priority. Our benefits plan includes company-paid medical, dental and vision benefits, employee-paid LTD coverage, and curated wellness perks so you can perform at your best.
🏝️Flexible Time Off (Unlimited PTO): We trust our team to manage their impact. Our policy includes unlimited vacation and sick days so you can stay refreshed and focused.
🏦 Invested in Your Future: RRSP matching in Canada and 401(k) matching in the USA.
✨ $1,000 Spending Account: HSA or LSA, allocated your way. Your perks, your call (Canada only).
💻 Best-in-Class Equipment: We equip every team member with a MacBook. Reliable, intuitive, and built to work seamlessly across your workflow.

At Cybrid, we’re building an inclusive team.
We believe diverse perspectives make us stronger and spark better ideas. We welcome people of all backgrounds, regardless of race, gender, age, religion, identity, or anything else that makes you, you. If you need any accommodations during the interview process, just let us know and we’re happy to offer them. Our team is also here to answer any questions you might have about interviewing, onboarding, or how we work together as a growing startup.

Senior Data Engineer