Based is looking for a Backend Engineer to specialize in our data and Web3 infrastructure. In this role, you'll be a key contributor to all data-related systems, working to ingest and process information from various sources – including the EVM blockchain. You'll work directly with our current senior/lead backend engineer to add critical capabilities, ensuring our systems are performant and ready to power the next generation of our product.

Responsibilities

• Design and develop robust and scalable data ingestion pipelines from both internal and external sources.

• Build and maintain real-time data synchronization systems for EVM blockchain data, ensuring our backend has up-to-date and accurate on-chain information.

• Architect and optimize ETL pipelines to process raw data and transform it into a clean, queryable format for low-latency serving.

• Work with the core engineering team to integrate processed data, providing content to our frontend with high performance and reliability.

• Design, develop, and deploy content recommendation algorithms to personalize the user experience.

• Implement monitoring and alerting for all data and Web3 pipelines to ensure data integrity and system health.

• Contribute to architectural decisions for the overall backend system, with a focus on data flow, storage, and processing.

• Stay up-to-date with the latest developments in Web3 data, blockchain indexing, and content recommendation technologies.

Qualifications

• 3+ years of experience in backend or data engineering roles.

• Proven experience building and maintaining data ingestion and ETL pipelines at scale.

• Strong proficiency with Node.js and TypeScript.

• Deep understanding of databases, both relational (e.g., PostgreSQL) and NoSQL (e.g., Redis), and experience with data modeling and schema design.

• Solid understanding of Web3 concepts and hands-on experience working with EVM blockchain data.

• Proficiency in at least one cloud platform (AWS, GCP, or Azure) and experience with data-related services (e.g., message queues, data lakes).

• Experience designing and implementing algorithms for content recommendation, search, or personalization.

• Excellent communication and collaboration skills, with the ability to take ownership of projects and work effectively within a team.

Bonus Points

• Experience with real-time data streaming technologies (e.g., Kafka, Kinesis, Pub/Sub).

• Experience with blockchain indexing tools or platforms.

• A background in data science or machine learning.

• Experience with a content-heavy or social media platform.