Senior Data Engineer

About the team:

Join Fireblocks' global data team building the infrastructure that powers analytics and AI-driven insights across the organization. As a Data Engineer, you'll design and maintain scalable data pipelines and systems that enable product analytics, business intelligence, and AI applications in our high-growth fintech environment.

What you'll do:

• Design, build, and maintain robust batch and streaming pipelines and orchestration across our modern stack (AWS, DBT, Airbyte,  Airflow, Snowflake) to support AI-driven data products.
• Develop and optimize data models in Snowflake, ensuring data quality, consistency, and performance at scale.
• Collaborate with Product Analysts and AI specialists to implement data solutions for customer segmentation, ranking systems, and predictive models.
• Partner with cros-functional teams to translate technical requirements into scalable data architecture.
• Implement end-to-end observability (data quality checks, monitoring, alerting) and cost/performance optimization in Snowflake and AWS.

What you'll bring:

• 6+ years of experience as a Data Engineer or similar role.
• Expert proficiency in SQL and hands-on experience with modern data warehouse platforms (Snowflake - advantage).
• Strong experience building ETL/ELT pipelines using tools like DBT, Airflow, or similar orchestration frameworks.
• Proficiency in Python or another programming language for data processing.
• Solid understanding of data modeling techniques (dimensional modeling, Data Vault, etc).
• Experience with cloud platforms, preferably AWS.
• Proven ability to design and maintain reliable, scalable data systems with a strong focus on data quality.
• Strong communication skills and the ability to work effectively with both technical and business stakeholders.
• Experience with fintech, financial services, or cryptocurrency/blockchain - advantage.
• Familiarity with real-time data processing or streaming technologies - advantage.