Summary

Santiment is a behavior analytics platform for cryptocurrencies that sources on-chain, social, and development data. We build tools that help people analyze the crypto market and find data-driven investment opportunities.

Social data is one of Santiment's core directions. Our Social Team collects Telegram messages, Reddit posts, tweets, and more, and builds a wide range of analytics on top of them.

Get familiar with our company and our product ecosystem at www.santiment.net.

Job Description

Responsibilities include, but are not limited to:

• Data Pipeline Development: Design, build, and maintain robust, high-volume ETL/ELT data pipelines using Python and Airflow orchestration.
• Data Layer Management: Work directly with distributed database technologies (e.g., ClickHouse, Elasticsearch) for scalable persistence and advanced querying needs.
• MLOps Implementation: Develop, operationalize, and monitor end-to-end ML workflows (e.g., feature engineering, model serving, retraining loops).
• System Reliability: Write clean, modular, production-grade Python code with a strong focus on logging, error handling, scalability, and maintainability.
• Business Translation: Collaborate directly with stakeholders to translate complex business requirements into scalable data models and technical solutions.
• AI Data Serving: Design and maintain data interfaces where AI models and agents are the primary consumers, making sure data is well-structured, reliable, and easy for LLM-based applications to access.
• Ownership & Proactivity: Take full ownership of tasks from initial scoping to a working production result, and proactively spot problems and suggest improvements without waiting to be asked.

Key Qualifications

• 2+ years of professional experience in Data Engineering or ML Engineering roles.