Senior Business Intelligence Engineer

Bluevine is the largest small business banking platform in the U.S., redefining how entrepreneurs manage their money. We create modern financial solutions, from checking and lending to payments and beyond, designed to help small business owners grow, thrive, and take control of their financial future. Our best-in-class technology, advanced security, and deep understanding of the small business community give our customers the confidence to focus on what they do best.

Since 2013, we’ve supported more than 750,000 small businesses nationwide. Backed by leading investors like Lightspeed Venture Partners, Menlo Ventures, 83North, and Citi Ventures, our 500+ person global team shares one mission: to give small businesses the financial tools they need to succeed.

We’re innovators driven by big ideas, collaboration, and real impact. Here, you’ll have the freedom to take ownership, grow your career, and make a difference for small business owners across America. Ready to shape what’s next?

• Design and develop data pipelines for efficient data extraction, transformation, and loading (ETL) processes
• Experience with event-driven data structures to create aggregated data layer for analysis and reporting
• Triage and optimize data reporting ETL via collaboration with data analysts and engineers to build long-term implementations

• Adhere to data quality, data governance, coding, and SDLC standards
• Adhere to the best practices in development, testing, deployment, and operations policies, procedures, and guidelines while effectively contributing to the further refinement of those guidelines.

• Partner with business leaders to understand the broader data needs to translate them into a comprehensive data strategy aligned with Bluevine’s OKRs
• Identify new data sources proactively and opportunities to leverage data for competitive advantage
• Contribute to continuously monitor and evaluate the effectiveness of the data strategy and propose adjustments as needed to optimize data utilization and business impact

• Write complex SQLs, profile the large data set, and provide insights with rich visualizations to answer some of the most important questions in our business
• Create and maintain interactive dashboards, reports, and visualizations to effectively communicate key metrics and insights to stakeholders
• Develop the BI framework to democratize the data and enable self-service analytics across the organization
• Design and implement advanced analytics solutions using machine learning techniques, statistical modeling, and data analysis algorithms to uncover hidden insights and predict future trends.
• Develop new Tableau dashboards as needed, plus ensure existing dashboards are optimized
• Stay at the forefront of emerging trends in augmented BI, big data, and advanced analytics, constantly evaluating and implementing new technologies to enhance our data capabilities.

• Have 6+ hands-on experience developing and supporting a modern data infrastructure, including cloud data warehouses such as AWS Redshift and Postgres, BI tools such as Tableau and Metabase, and data orchestration platforms such as Airflow
• Highly proficient in SQL, with a focus on data warehousing best practices
• Experience working in a multi-cultural and fast-paced complex environment where priorities change frequently
• Proven ability to successfully manage multiple projects  
• Advanced knowledge and experience with Tableau
• Good to have: Experience using AI-assisted developer tools (e.g., Github Copilot) to accelerate engineering workflows such as SQL authoring/optimization, data model tuning, ETL debugging, documentation, and test case generation for data quality checks.