As a Data Engineer/Analyst, you'll be instrumental in turning raw blockchain and app data into actionable insights that drive product decisions, inform market strategies, and power core features across our products.Your responsibilities will include: Designing and maintaining scalable data pipelines for both on-chain and off-chain data sources Performing data analysis to surface actionable insights on user behavior, protocol activity, and liquidity trends Building and managing internal dashboards and reporting tools to support product, engineering, and operations teams Collaborating closely with engineering and research teams to support experimentation, metric definition, and model development Proactively identifying data quality issues and implementing solutions to ensure data accuracy and reliability Who You Are 3-7 years of experience in data engineering, analytics, or related roles Proficiency with Python, SQL, and modern data stack tools (e.g., dbt, Airflow, Snowflake, BigQuery) Comfortable working with APIs, event streams, and real-time or near-real-time datasets Strong analytical and problem-solving skills, with the ability to work through ambiguity Prior experience in high-growth startups or fast-paced environments is a plus Interest in DeFi, blockchain, or market infrastructure is highly desirable Bonus Points Experience with Solana or other blockchain protocols Familiarity with financial market structure, DEXs, or trading data Experience working with mobile analytics platforms or large-scale user datasets When applying, mention the word CANDYSHOP to show you read the job post completely.