Senior Data Engineer

Biconomy empowers Web3 developers. As a Data Engineer, you'll build and scale the infrastructure powering HyperSignals, a high-throughput analytics engine extracting insights from on-chain and CEX trading flows.

Overview

Department

Data Science & Analytics

Job type

Full time

Compensation

Salary not specified

Location

Global

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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

Responsibilities

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

Benefits

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