Senior Data Engineer (Integrations)

Proven experience building and operating production data pipelines. Strong data engineering and software engineering fundamentals. Deep experience in Python and SQL. Hands-on experience with ClickHouse and dbt in production. Solid understanding of streaming and batch ingestion patterns. Comfortable working across the data infrastructure stack. Experience designing clean, reusable datasets. Experience using AI-powered tools in development. Clear written and verbal communication skills for a remote-first, async environment. Pragmatic, execution-oriented mindset with strong ownership. Experience with, or strong interest in, blockchain data structures, crypto, and Web3 technologies.

Design, build, and scale data pipelines using ClickHouse, Python, and dbt. Build systems for large-scale streaming and batch data with an emphasis on correctness and stability. Own the end-to-end lifecycle of data pipelines from ingestion to clean datasets. Improve pipeline observability, data quality checks, and failure handling. Collaborate with data consumers to define dataset contracts and schemas. Use AI tools like Cursor, MCPs, and LLMs to accelerate development. Stay current with best practices and evolve toolkit.