Business Intelligence Engineer
Core
Build and maintain data pipelines, models, and reporting structures to translate business needs into trusted data products and actionable insights.
Role type
Senior Business Intelligence Engineer (Analytics Engineering)
Builds
Dashboards, analytics solutions, and downstream data products
Domain
Cloud data platforms and enterprise analytics
Required skills
SQL, Python, ETL/ELT development, data modeling, cloud data platforms, BI visualization tools, data quality and governance
Preferred skills
Experience with both Databricks and Snowflake, knowledge of medallion and data vault architectures, familiarity with AI tools for development and analytics
Technologies
Databricks, Snowflake, AWS, Azure, Google Cloud, Redshift, BigQuery, PostgreSQL, MySQL, Tableau, Power BI, Qlik
Responsibilities
Create and maintain SQL queries, data models, and reporting structures; build and optimize data pipelines and database architecture; develop ETL/ELT processes; partner with stakeholders to translate requirements into data solutions; validate and profile data to resolve reporting issues; automate data workflows using Python and SQL; evaluate and apply AI tools responsibly for data tasks; contribute reusable analytics engineering patterns.
Seniority
Mid-Senior level, hands-on IC
