Senior Data Engineer

Role Overview

Join our tech team as a Senior Data Engineer to build and operate large-scale data pipelines, design distributed ETL/ELT workflows, and manage data storage layers. Collaborate with ML and backend teams to deliver high-quality, real-time data for ranking and retrieval.

What You Will Do

Build and operate large-scale data pipelines, design and maintain distributed ETL/ELT workflows, develop and optimize data ingestion and transformation systems, manage and scale data storage layers, participate in architecture discussions, and contribute to system design.

Why It Might Be a Fit

You'll thrive in a fast-paced, high-ownership startup environment, working on groundbreaking products that shape the future of AI-powered applications. You'll have the opportunity to leverage your expertise to push the boundaries of AI and bring our vision to life.

Requirements

• Strong experience in data engineering or backend development (3y minimum)
• Understanding of distributed systems, data modeling, and streaming architectures
• Care about data quality, observability, and system reliability
• Enjoy debugging tough pipeline issues and optimizing for latency or throughput
• Curious about AI infrastructure, indexing systems, and retrieval-augmented generation (RAG)

Benefits

• Flexible remote-work policy
• Opportunity to work on groundbreaking products that shape the future of AI-powered applications
• Collaborative and dynamic startup environment
• Competitive compensation and benefits package