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Ethena Labs

Senior Data Engineer

7.0/10

Ethena Labs

Not specified
Remote
senior
about 2 months ago
cryptodevfintechweb3PythonSQLTerraformAWSGCPTimescaleDBClickHouseWebSocket

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Description

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.

Conditions

  • •Work alongside a passionate and innovative team that values collaboration and creativity.
  • •Enjoy a flexible, remote-friendly work environment with established opportunities for personal growth and learning.

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.
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