Finance Analytics Engineer
Core
Design, build, and maintain scalable data pipelines and data models to serve the Finance organization's planning, forecasting, and strategic decision-making needs.
Role type
Senior Finance Analytics Data Engineer
Builds
Production data pipelines, Redshift data warehouse models, and AI-interpretable financial data layers
Domain
Finance / Data Engineering
Deliverable
production ML models | product features
Required skills
Python, SQL, Apache Airflow, data warehousing, ETL/ELT, data modeling, Redshift, financial modeling concepts
Preferred skills
LLMs, prompt engineering, AI tooling integration, natural language access to data, automated anomaly detection
Technologies
Python, Apache Airflow, Redshift
Responsibilities
Design and maintain robust data pipelines for large volumes of data; Optimize Redshift queries and tables; Build data models for key business metrics; Implement data quality checks and monitoring; Document data pipelines and business logic; Translate Finance stakeholder needs into scalable data solutions; Create AI Business Context layers for financial applications; Build tools for natural language data access and AI-assisted reporting
Seniority
Senior, hands-on IC
