Senior Data Engineer at Fireblocks

, , United States -

Full Time

Start Date

Immediate

Expiry Date

25 Apr, 26

Salary

0.0

Posted On

25 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SQL, Snowflake, ETL, ELT, DBT, Airflow, Python, Data Modeling, AWS, Data Quality, Fintech, Blockchain, Streaming Technologies, Collaboration, Analytics

Industry

Software Development

Description

The world of digital assets is accelerating in speed, magnitude, and complexity, opening the door to new ways for leveraging the blockchain. Fireblocks’ platform and network provide the simplest and most secure way for companies to work with digital assets and it trusted by some of the largest financial institutions, banks, globally-recognized brands, and Web3 companies in the world, including BNY Mellon, BNP Paribas, ANZ Bank, Revolut, and thousands more. 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. Fireblocks' mission is to enable every business to easily and securely access digital assets and cryptocurrencies. In order to do that, we strongly believe our workforce should be as diverse as our clients, and this is why we embrace diversity and inclusion in all its forms. Please see our candidate privacy policy here.

Responsibilities

Design, build, and maintain robust batch and streaming data pipelines to support AI-driven data products. Collaborate with cross-functional teams to implement data solutions for analytics and business intelligence.