
Analytics Engineer
Risk Labs Foundation
full-time
Posted on:
Location Type: Remote
Location: United States
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Tech Stack
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