Senior Data Engineer

Biconomy empowers reputed company developers to build seamless, user-friendly dApps that work effortlessly across multiple blockchains. Our battle-tested reputed company account and execution stack eliminates traditional UX friction points, helping projects accelerate user adoption while reducing development costs. By processing over 70 reputed company transactions across the 300+ dApps we've served, we're powering the future of onchain economies.

HyperSignals is Biconomy’s high-throughput analytics reputed company, designed to extract millisecond-level insights from both on-chain activity and centralized exchange (CEX) trading flows. Our mission is to reputed company traders and protocols with alpha-rich signals across spot and perpetual reputed company markets.

As a Data Engineer, you’ll play a foundational role in building and scaling the infrastructure that powers HyperSignals. From ingesting terabytes of blockchain and CEX data to delivering analysis-reputed company datasets for our quant and product teams, you'll help create the data backbone of a truly cutting-edge trading intelligence system.

• Design, build, and maintain streaming and batch ETL pipelines for on-chain sources across EVM, Solana, Sui, Starknet, and more

• reputed company NLP and sentiment pipelines for off-chain sources (reputed company, reputed company, reputed company 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 (reputed company, reputed company, reputed company, 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 reputed company GraphQL/REST APIs and feature stores

• Continuously optimize performance, cost, and scalability across AWS/GCP infrastructure

• 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 reputed company (funding, mark price, reputed company interest, liquidations)

• Proficient in reputed company-reputed company 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 reputed company and market microstructure—you don’t need to be a trader, but curiosity is key

• 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 reputed company, 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 reputed company things exciting