AI Data Engineer (Fintech)

TL;DR

AI Data Engineer (Fintech): Building and evolving streaming data pipelines and feature stores for production AI systems with an accent on real-time model serving and low-latency data architecture. Focus on designing scalable data contracts, ensuring pipeline observability, and optimizing inference infrastructure for high-performance financial services.

Location: Must be based in the United States

Salary: $110.4K – $220.8K

Company

hirify.global is a globally accessible financial infrastructure platform and one of the world's longest-standing crypto exchanges, serving over 10 million users.

What you will do

• Own and evolve streaming data pipelines powering live inference and real-time model serving.
• Design and build feature stores that provide low-latency, high-reliability features to production ML models.
• Implement and maintain streaming systems using tools like RisingWave, Apache Flink, or Kafka Streams.
• Partner with ML engineers to define data contracts, feature schemas, and pipeline SLAs.
• Drive the transition from batch processing to real-time pipelines to reduce latency.
• Ensure data quality, observability, and auditability across all streaming and feature engineering systems.

Requirements

• Must be based in the United States
• 5+ years of experience in data engineering with at least 2 years focused on production streaming systems.
• Hands-on experience with stream processing frameworks such as RisingWave, Apache Flink, or Kafka Streams.
• Strong understanding of feature store design, including online/offline consistency and low-latency serving.
• Proficiency in Python and/or Scala, with required SQL fluency.
• Experience building data pipelines that feed production ML models or inference systems.

Nice to have

• Direct experience with RisingWave in production.
• Exposure to inference pipeline architecture or model serving infrastructure.
• Experience with feature platforms.
• Domain experience in crypto or fintech.

Culture & Benefits

• Comprehensive benefits package including medical, dental, and vision insurance.
• 401(k) retirement plan.
• Wellness allowance.
• Bonus and equity programs.
• Opportunity to work on globally scaled financial infrastructure.

Hiring process

• May include job-related skills or work-style assessments to evaluate competencies.
• Interviews and assessments are used to determine fit alongside experience.