Blockchain Data Analyst, Researcher
Job Description:
• As a Blockchain Data Analyst & Researcher, you will serve as a pivotal force in our data intelligence efforts
• Your core mission will involve a deep dive into the mechanics of various blockchain networks
• Reverse engineering of sophisticated Decentralized Finance (DeFi) protocols and translating these into actionable, structured data
• Develop new derivative data models and datasets for client insights
• Map, cleanse, and normalize raw blockchain data into structured relational and non-relational schemes for analytics tools
Requirements:
• 3+ years hands-on in Data Science, Data Engineering, or a hybrid role
• Blockchain or crypto analytics background strongly preferred
• Familiarity with on-chain data structures, transaction semantics, and asset classification
• Streaming & Lakehouse Apache Flink or Spark Streaming building and operating real-time data pipelines
• Apache Iceberg or Apache Hudi managing large-scale Data Lakehouses
• AWS Data Platform S3 for scalable data lake storage
• RDS for structured relational workloads
• Spark SQL and PySpark for interactive querying and ad-hoc analysis
• Proficient in architecting high-throughput ingestion pipelines that leverage external data sources REST/WebSocket APIs, JSON-RPC node queries
• Strong grasp of ETL fundamentals (extract, transform, load)
• Systematic approach to debugging; comfortable with large, semi-structured, or undocumented data sources
Benefits:
• Opportunity to work directly on data for digital assets
• Working with multiple AI solutions daily
• Exposure to both technical problem-solving and customer-facing challenges
• A growing Poland-based team with direct collaboration across US and global stakeholders
• A startup-style culture where your impact is visible every day
Apply tot his job
Apply To this Job
• As a Blockchain Data Analyst & Researcher, you will serve as a pivotal force in our data intelligence efforts
• Your core mission will involve a deep dive into the mechanics of various blockchain networks
• Reverse engineering of sophisticated Decentralized Finance (DeFi) protocols and translating these into actionable, structured data
• Develop new derivative data models and datasets for client insights
• Map, cleanse, and normalize raw blockchain data into structured relational and non-relational schemes for analytics tools
Requirements:
• 3+ years hands-on in Data Science, Data Engineering, or a hybrid role
• Blockchain or crypto analytics background strongly preferred
• Familiarity with on-chain data structures, transaction semantics, and asset classification
• Streaming & Lakehouse Apache Flink or Spark Streaming building and operating real-time data pipelines
• Apache Iceberg or Apache Hudi managing large-scale Data Lakehouses
• AWS Data Platform S3 for scalable data lake storage
• RDS for structured relational workloads
• Spark SQL and PySpark for interactive querying and ad-hoc analysis
• Proficient in architecting high-throughput ingestion pipelines that leverage external data sources REST/WebSocket APIs, JSON-RPC node queries
• Strong grasp of ETL fundamentals (extract, transform, load)
• Systematic approach to debugging; comfortable with large, semi-structured, or undocumented data sources
Benefits:
• Opportunity to work directly on data for digital assets
• Working with multiple AI solutions daily
• Exposure to both technical problem-solving and customer-facing challenges
• A growing Poland-based team with direct collaboration across US and global stakeholders
• A startup-style culture where your impact is visible every day
Apply tot his job
Apply To this Job