Senior Analytics Engineer building scalable data pipelines and AI - native analytics foundations at Mercury, a fintech company. Supporting agentic tooling, self - service analytics, governance, and data products.
About the role
- Senior Analytics Engineer at Caribou optimizing data models and building dashboards for home care operations. Collaborating across teams to enhance data quality and facilitate decision-making.
Responsibilities
- Build and maintain data models, create governed dashboards, own data documentation, and help establish the quality and testing infrastructure
- Build, maintain, and optimize dbt models across core domains
- Implement and expand data quality tests
- Maintain trust tier labeling on all models
- Monitor automated test runs and investigate failures
- Collaborate with stakeholders to translate business questions into well-scoped data work
- Support Customer Success with client reporting and data verification
Requirements
- 5+ years of professional experience in analytics engineering, data analysis, or data engineering
- Strong SQL skills and 2+ years of experience with dbt (or equivalent transformation tool: SQLMesh, Dataform)
- Experience with Snowflake, BigQuery, Databricks, or Redshift in a production environment
- Experience building dashboards and working with BI tools (Omni, Looker, Mode, Metabase, or similar)
- Familiarity with data quality testing and CI/CD concepts (dbt tests, Great Expectations, or similar)
- Ability to write clear documentation and communicate data concepts to non-technical audiences
- Experience working directly with product, customer success, or business stakeholders.
Benefits
- Competitive salary
- Stock options
- Healthcare benefits
- Summer half-days Fridays
- Hybrid work-culture
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