Data & Analytics Engineer (Blockchain)
Location: Remote
Department: Data & Insights
The Role
Turn on‑chain and off‑chain data into actionable intelligence for FalconChain clients. You’ll build pipelines, dashboards, and analytics models that reveal user behaviour, protocol performance, and ROI metrics.
Key Responsibilities
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Design ETL processes to ingest blockchain data (RPC, subgraphs, indexers) into scalable warehouses (BigQuery, Snowflake).
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Build real‑time dashboards and KPI reports using Tableau/Power BI or similar.
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Develop data models to track wallet adoption, transaction throughput, and liquidity metrics.
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Implement anomaly detection for fraud, gas‑spikes, and exploit patterns.
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Partner with product and client teams to translate insights into strategy.
Requirements
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4 + years in data engineering/analytics; at least 1 year handling blockchain datasets.
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Proficient in Python or Scala, SQL, and data pipeline tools (Airflow, dbt).
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Familiar with Ethereum JSON‑RPC, The Graph, or Chainlink oracles.
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Strong grasp of statistics; experience with machine‑learning anomaly‑detection is a bonus.
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Comfortable presenting complex findings to non‑technical stakeholders.
Why FalconChain
Shape the data backbone of GCC blockchain projects, influence product roadmaps with your insights, and help clients prove real ROI from Web3 adoption.