Senior Data Engineer

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Senior Data Engineer

Full-time/Company: Ethena Labs

Who We Are and What We are Doing:

Ethena Labs is actively building and deploying a suite of groundbreaking digital dollar products aiming to upgrade money into the internet era.

Our flagship product, USDe, is a synthetic dollar backed by digital assets, and takes the novel approach of using a delta-neutral hedged basis strategy to maintain its peg. This product scaled from zero to $15b in 18 months.

What You’ll Do

• 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.

What We’re Looking For

• 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.

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