Data Engineer

Job Description:

• Design, build, and maintain scalable data pipelines and architecture to support our analytics, product, and business needs.
• Develop reliable ELT/ETL processes and data models for our data warehouse.
• Partner with engineers to instrument and track key product and system events
• Ensure data quality, consistency, and security across systems.
• Build internal tools, dashboards, and data marts that empower teams to make data-driven decisions.
• Help define and shape our overall data strategy, tools, and best practices.

Requirements:

• Strong problem-solving skills and attention to detail.
• Excellent communication skills – this is key for working closely with cross-functional teams and owning product decisions.
• 5+ years of experience as a Data Engineer or in a similar backend/data infrastructure role with strong SQL and Python skills.
• Experience with modern data stack tools (e.g. dbt, Airflow, Snowflake, BigQuery, Redshift, etc.)
• Solid understanding of data modeling, warehousing concepts, and distributed systems
• Experience in cryptocurrency or blockchain is a plus.
• A passion for working in a dynamic startup environment and solving complex challenges.