Data Engineer: Analytics
Enterprise AI platform for financial institutions, providing agentic research, analysis, workflow automation, and client-ready deliverables.
Funding history
About Rogo
Rogo builds bespoke, enterprise-grade AI systems for financial workflows, including research, analysis, modeling, reporting, and deal work. Its platform emphasizes financial-domain models, integrated firm and market data, auditability, governance, and security.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own analytics infrastructure, including ETL pipelines, Snowflake, dbt models, orchestration, and reliability. You will design analytics evaluations, maintain KPI definitions and documentation, support customer-facing analytics features, and develop deep product and business understanding.
Requirements
- 5+ years of data or analytics engineering experience
- Production data-system ownership
- SQL proficiency
- Cloud data warehouse experience
- Snowflake proficiency
- dbt experience
- Python proficiency
- ETL and orchestration experience
- Knowledge of partitioning, incremental models, and storage tiering
- Fluency with AI products and agentic tools
Responsibilities
- Own ETL pipelines, Snowflake, dbt models, orchestration, and reliability
- Design and run evaluation and testing for analytics surfaces
- Own KPI definitions, pipelines, and documentation
- Develop deep product understanding
- Partner on customer-facing analytics features
- Own an analytics domain
Benefits
- Equity
- Medical coverage
- Dental coverage
- Vision coverage
- Paid time off