Biconomy empowers Web3 developers to build seamless, user-friendly dApps that work effortlessly across multiple blockchains. Our battle-tested modular account and execution stack eliminates traditional UX friction points, helping projects accelerate user adoption while reducing development costs. By processing over 70 million transactions across the 300+ dApps we've served, we're powering the future of onchain economies.
The Role – Powering the Next Generation of Real-Time Market Intelligence
Hypersignal is Biconomy’s high-throughput analytics engine, designed to extract millisecond-level insights from both on-chain activity and centralized exchange (CEX) trading flows. Our mission is to equip traders and protocols with alpha-rich signals across spot and perpetual futures markets.
As a Data Engineer, you’ll play a foundational role in building and scaling the infrastructure that powers Hypersignal. From ingesting terabytes of blockchain and CEX data to delivering analysis-ready datasets for our quant and product teams, you'll help create the data backbone of a truly cutting-edge trading intelligence system.
What You Will Be Doing
Design, build, and maintain streaming and batch ETL pipelines for on-chain sources across EVM, Solana, Sui, Starknet, and more
Develop NLP and sentiment pipelines for off-chain sources (Binance, Bybit, social platforms) to extract actionable market signals
Normalize and unify disparate market data schemas (order books, trades, liquidations, funding rates) into a single analytics model for perpetuals
Implement low-latency ingestion systems using Kafka, Kinesis, PubSub, WebSockets, or Firehose, with exactly-once guarantees
Build and optimize lakehouse/warehouse layers (Iceberg, Delta, Snowflake, BigQuery) with Z-ordering, partitioning, and materialized views
Enforce data quality and observability using dbt tests, Great Expectations, and OpenTelemetry
Collaborate with quants and backend engineers to deliver data via GraphQL/REST APIs and feature stores
Continuously optimize performance, cost, and scalability across AWS/GCP infrastructure
Requirements
4+ years of experience as a Data Engineer in high-throughput environments such as trading, crypto, or fintech
Expert-level Python (pandas, pyarrow, asyncio) and SQL skills, with strong fundamentals in algorithms and distributed systems
Proven experience with streaming frameworks (Flink, Spark Structured Streaming, Kafka Streams) and message buses (Kafka, Kinesis, Pulsar)
In-depth understanding of blockchain data structures (blocks, receipts, logs), indexers (The Graph, Substreams), and node/RPC infrastructure
Familiarity with CEX market APIs (REST & WebSocket) and mechanics of perpetual futures (funding, mark price, open interest, liquidations)
Proficient in cloud-native development (AWS or GCP), including IaC (Terraform/CDK), CI/CD, and container orchestration (EKS/GKE)
A strong track record of building and owning production systems end-to-end, with clear documentation and operational rigor
Passionate about perpetual futures and market microstructure—you don’t need to be a trader, but curiosity is key
What We Offer
Flexible Working Hours – Enjoy autonomy over your schedule
Generous Vacation Policy – 25 days vacation per year plus public holidays
Competitive Salary – With regular performance reviews
Token Allocation – Be rewarded with tokens as part of our compensation package
Growth Opportunities – Be part of an exciting new project with significant career growth potential
Innovative Work Culture – Join a team that’s at the cutting edge of Web3, AI, and DeFi, and help shape the future of the digital economy
Fun and Engaging Team Activities – Game nights, virtual celebrations, and work retreats to keep things exciting
