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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # BI Engineer II - **Company:** Enova International, Inc. - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $72,000.0 - $105,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Business Analytics Applications, Data Analysis, BigQuery, Cloud Database, Databases, Extract Transform Load (ETL), Data Mart, Data Transformation, Data Visualization, Data Warehousing, Relational Databases, Dimensional Modeling, Python (Programming Language), MicroStrategy, Power BI, SQL Databases, Tableau (Software), Technical Data Management Systems, Delivery Pipeline, Snowflake, Star Schema, Looker Analytics, Data Pipelines, Amazon Redshift, Databricks - **Published:** June 26, 2026 - **Apply:** https://www.dice.com/job-detail/15f2bb85-e0cc-49c4-b9e3-ac81f4ec0ea2 ## About the Role * 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) * Strong grasp of data warehousing and data mart concepts, including dimensional modeling (star schema, slowly changing dimensions, etc.) * 4+ years designing and implementing ETL/ELT pipelines; hands-on experience with Astronomer (Apache Airflow) or similar orchestration tools * 4+ years working with enterprise BI and visualization tools - MicroStrategy, Tableau, Looker, PowerBI, or equivalent * 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 * Strong business acumen - ability to understand domain context and translate business needs into technical data solutions * Proven experience working directly with senior management and cross-functional stakeholders to gather requirements and define success Nice to have: * Proficiency in Python for data transformation, pipeline automation, and analytics ## Description We live and breathe data at Enova - and this role sits at the center of it. As a Senior Business Intelligence Engineer, you will design, develop, and maintain robust reporting solutions and analytic applications that power decision-making across Finance, Marketing, Operations, Compliance, and more. You will partner directly with business owners to gather requirements, translate them into scalable BI solutions, and take ownership of the full project lifecycle - from scoping through delivery and ongoing support. You will also play a key role in advancing our use of AI across the BI and data development workflow, leveraging modern tools to accelerate insight delivery and drive strategic impact., * Partner with stakeholders across all our PnLs, Marketing, Operations, Accounting, and Finance to understand data needs and deliver actionable reporting solutions * Lead technical initiatives end-to-end from architecting the solution to collaborating with peers on execution * Design, implement, and maintain complex, multi-layered SQL and Python processes for reporting and analytics * Architect and enhance ETL/ELT pipelines using Astronomer Airflow and other modern orchestration tools * Operates as a senior member of the team: leads projects end-to-end from scoping and design through delivery and support * Build, optimize, and support data marts and data warehouse solutions using Snowflake * Develop and maintain dashboards and reports in Strategy(MSTR) and/or comparable BI tools * Proactively identify and implement AI use cases across various business units, leveraging Enova's AI tech stack(Claude, AWS Bedrock, Gemini, and more) to drive adoption * Advise on best practices, innovative designs, and emerging BI technologies ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Making Data Warehouses fast. 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