Senior Analytics Engineer

Analytics Engineer

Company

Risk Labs

Conditions

13 hours agoSenior Anywhere Remote Full Time Pays in Crypto Token Allocation Data Science Jobs by Risk Labs

Skills

Data Quality Cost-Optimization Bigquery Product Analytics Airflow Dbt Data Pipeline Gcp Data Lineage Llm Sql Python Data Instrumentation Event Data Data Modeling Amplitude

About the Role

You will be the direct owner of the transformation layer between raw ingestion and the clean data layer. You will audit, refactor, and migrate legacy models into a maintainable, well-documented system. You will design and run data quality frameworks with tests, alerts, and lineage and optimize BigQuery queries and materializations to control cost. You will build event data models and product observability to instrument new product launches and support analytics consumers. You will manage priorities, communicate proactively with stakeholders, and resolve production issues end-to-end.

Requirements

• Deep expertise in data modelling across time horizons, dimensions, and granularities
• Advanced SQL with warehouse-aware, performant query design
• Proven experience owning a transformation layer in production and leading refactors or migrations
• Hands-on experience designing and implementing data quality frameworks including testing, alerting, and lineage
• Experience with event data and product analytics tooling (Amplitude, Segment, or similar)
• Experience with crypto data or highly normalized, irregular schemas and inherited complexity
• Strong cross-functional communication with non-technical stakeholders
• Comfortable managing ambiguity and a shifting backlog
• Nice to have: experience with dbt
• Nice to have: familiarity with BigQuery partitioning, clustering, and materialization strategies
• Nice to have: practical use of AI/LLM tooling to accelerate workflows

Responsibilities

• Own the transformation layer between raw ingestion and the clean data layer
• Audit, refactor, and migrate legacy models into maintainable pipelines
• Design and implement data quality frameworks including tests and alerting
• Implement column-level lineage and codify business logic tests
• Optimize BigQuery queries, storage, and materialization strategies
• Design event data models and product analytics instrumentation
• Collaborate with Product and Analytics stakeholders to align priorities
• Run and resolve production data incidents and root cause analysis

Benefits

• Tokens
• Equity
• Paid in stablecoins or fiat (candidate choice)
• Unlimited vacation
• Family care support
• Training and development support
• 100% remote
• At least two company-wide offsites per year

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