Senior Data Engineer

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Ethena Labs

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Finance • Fintech • Web 3

Ethena Labs is a company focused on creating synthetic financial products, such as a Synthetic Dollar with Internet Native Yield (sUSDe). Ethena Labs aims to provide innovative financial solutions with transparency, leveraging blockchain technology. It is backed by a robust community and operates within a decentralized financial ecosystem.

2 - 10 employees

💸 Finance

💳 Fintech

🌐 Web 3

📋 Description

• Rapidly spin up the cloud environment. Deliver working historical backfill pipelines from Tardis.dev into a queryable database. • Deliver a real-time Tardis WebSocket pipeline, ensuring data is normalized, cached for live consumption, accurate, replayable, and queryable by Day 60. • Ensure all pipelines are idempotent, retryable, and use exactly-once semantics. Implement full CI/CD, Terraform, automated testing, and secrets management. • Implement proper observability (structured logs, metrics, dashboards, alerting) from day one. Provide immediate self-service access to the MVP database for Trading and BI teams via tools like Tableau/Metabase, and through simple internal REST APIs. • Develop specialized timeseries data, including USDe backing-asset and a full opportunity-surface timeseries for Delta-neutral/lending/borrow opportunities. • Ingest data from additional sources (Kaiko, CoinAPI, on-chain via TheGraph/Dune). Plan for 10x+ data growth via schema evolution, partitioning, and performance tuning. Establish enterprise-grade governance, including a data quality framework, RBAC, audit logs, and a semantic layer. • Create full architecture documentation, runbooks, and a data dictionary. Onboard and mentor future junior staff.

🎯 Requirements

• Proven track record of delivering working, production data in weeks, not months, with the ability to ruthlessly cut scope to hit a 60-day MVP while managing technical debt. • Have built Tardis historical and real-time pipelines before (or equivalent high-quality crypto market data feeds), understanding specific quirks, rate limits, and WebSocket structures. • Expert in large-scale, reliable ETL/ELT for financial or market data. • Fluent in provisioning full environments with Terraform in days and expert in AWS/GCP serverless technologies. • Expert Python and SQL skills and proficiency with time-series databases like TimescaleDB or ClickHouse, ensuring fast queries from day one. • Advanced knowledge of WebSocket clients, message queues, and low-latency streaming, GitOps, automated testing/deploy and observability practices. • Significant understanding of stablecoins, lending protocols, and opportunity surface concepts, or a proven ability to ramp up extremely quickly.

🏖️ Benefits

• Flexible, remote-friendly work environment • Established opportunities for personal growth and learning