Senior Data Engineer

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, stable coins 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 stable coins 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.

Stable coins 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.

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.

• 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.

• 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…