Risk Labs Foundation

Analytics Engineer

Risk Labs Foundation

full-time

Posted on:

Location Type: Remote

Location: United States

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About the role

  • You are the DRI for everything between raw ingestion and the clean data layer.
  • You own the modelling strategy and are trusted to push back when a request would compromise what we've built.
  • You'll audit what we have, cut what we don't need, and rebuild the rest into something clean, traceable, and maintainable.
  • You'll design and own our approach to data quality: what we test, how we test it, and what happens when something breaks.
  • You'll own the efficiency of our query and storage footprint, refactoring models and materialisation strategies to reduce unnecessary spend.
  • You'll build a robust event data model that gives us meaningful observability across our full product suite.

Requirements

  • Deep, demonstrable expertise in data modelling across multiple time horizons, dimensions, and levels of granularity
  • Advanced SQL: performant, readable, and warehouse-aware
  • Experience owning a transformation layer in production, including a meaningful refactor or migration
  • Hands-on experience designing and implementing data quality frameworks: testing, alerting, and lineage
  • Experience with event data and product analytics tooling (Amplitude, Segment, or similar)
  • Experience with crypto data, or data environments characterised by high normalisation, irregular schemas, and significant inherited complexity
  • Strong cross-functional communication; able to work closely with non-technical stakeholders without losing precision
  • Comfortable with ambiguity and able to manage a shifting backlog without losing momentum.
Benefits
  • Competitive salary with a mix of salary, tokens, and equity.
  • Paid in stablecoins or fiat, your choice
  • Unlimited vacation, and we actually take it
  • Family care, training, and development support
  • 100% remote
  • At least two company-wide offsites per year
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data modellingSQLdata quality frameworksdata transformationdata migrationevent dataproduct analyticsdata lineagedata auditingdata refactoring
Soft Skills
cross-functional communicationstakeholder managementadaptabilityproblem-solvingattention to detailorganizational skillscollaborationprecisionambiguity managementmomentum maintenance