Data Engineer at Key to Web3 (Texas)
Key to Web3· Texas·
Role details
Job description
Data Engineer
We're hiring a Data Engineer to help build and maintain critical data infrastructure supporting large-scale compute and mining systems.
Key Responsibilities:
Build and maintain batch and streaming data pipelines. Manage cloud-based relational and non-relational databases with a focus on performance and reliability. Design multi-region replication and failover systems. Maintain scalable data systems with low-latency data access. Implement automated testing and monitoring for data quality. Collaborate with engineering on secure, scalable system architecture. Contribute to feature generation and analysis processes.
Key Requirements:
Strong Python, PostgreSQL, and PL/pgSQL skills. Experience building and maintaining ETL pipelines. Familiar with tools like Trino, ClickHouse, and Airflow. Deep understanding of data architecture in cloud environments. Solid programming fundamentals. Bachelor's degree in computer science or related field—or equivalent experience. 4+ years in a data engineering role. Experience with Kubernetes and Docker. Background in Kafka (Redpanda preferred). Experience with agile teams and production-scale systems. Blockchain or mining infrastructure experience is required
Why work at Key to Web3
- Culture Highlights: A startup‑style, lean team environment where every member has significant ownership. Emphasis on innovation, technology, and shaping the future of work in emerging industries.
- Remote/Hybrid Policy: Fully remote‑friendly; the team is distributed across the US and Czechia, and the company actively hires for remote roles globally.
- Notable Perks: Opportunity to work at the intersection of cutting‑edge technologies, direct mentorship from a founder with deep industry connections, and exposure to high‑growth startups and Fortune 500 clients.
- Engineering Culture: Recruiters and consultants work closely with technical talent; the agency itself is small and agile, offering a chance to wear multiple hats and directly impact client outcomes.