Senior Business Intelligence Engineer

Join Enova, a data-driven company, as a Senior Business Intelligence Engineer. In this role, you will design, develop, and maintain reporting solutions and analytic applications that drive decision-making across various departments. You will collaborate with business owners to gather requirements, translate them into scalable BI solutions, and take ownership of the entire project lifecycle. Additionally, you will play a key role in advancing the use of AI in the BI and data development workflow.

• Design, develop, and maintain robust reporting solutions and analytic applications that power decision-making across various business units.
• Partner directly with business owners to gather requirements, translate them into scalable BI solutions, and take ownership of the full project lifecycle.
• Lead technical initiatives end-to-end from architecting the solution to collaborating with peers on execution, including designing, implementing, and maintaining complex SQL and Python processes.
• Experience leveraging AI tools in day-to-day work - coding assistants, agents, and identifying new use cases (e.g., Claude, Gemini, AWS Bedrock) - with a curiosity to push adoption further
• Proven experience working directly with senior management and cross-functional stakeholders to gather requirements and define success
• 4+ years designing and implementing ETL/ELT pipelines; hands-on experience with Astronomer (Apache Airflow) or similar orchestration tools
• Strong business acumen – ability to understand domain context and translate business needs into technical data solutions
• Expert-level SQL and database skills - writing high-quality, performant queries is a core part of this role
• Strong experience with relational databases and cloud data warehouses (Snowflake, Databricks, BigQuery, or AWS Redshift)
• 4+ years working with enterprise BI and visualization tools – MicroStrategy, Tableau, Looker, PowerBI, or equivalent
• Strong grasp of data warehousing and data mart concepts, including dimensional modeling (star schema, slowly changing dimensions, etc.)
• Proficiency in Python for data transformation, pipeline automation, and analytics