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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff, Business Intelligence Engineer - **Company:** Twilio - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Salary:** $141,520.0 - $176,900.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Apache HTTP Server, ARM Architecture, Automation of Tests, Big Data, Software as a Service, Code Review, Continuous Integration, Data Control, Information Engineering, Data Infrastructure, Data Visualization, Github, DataOps, Salesforce.Com, Software Engineering, SQL Databases, Tableau (Software), Twilio, Git, Data Layers, Gitlab-ci, Information Technology, Looker Analytics, Software Version Control, Data Pipelines, Service Stack, Jenkins - **Published:** July 23, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17674161?backUrl=%2Fcareer%2F17674161%2FStaff-Business-Intelligence-Engineer ## About the Role * Minimum 8 years of professional experience in business intelligence, analytics engineering, data engineering, or a related discipline, with a preference for direct experience supporting GTM or sales analytics in a SaaS environment. * Experience with business intelligence platforms such as Tableau, particularly in the context of executive reporting and sales analytics. * Advanced expertise in SQL and hands-on experience designing data models * Demonstrated ability to partner with cross-functional stakeholders to codify, document, and reconcile critical business metrics, ensuring company-wide data alignment. * Proven track record of implementing robust data quality and testing frameworks, including expertise with CI/CD and data observability. * Strong technical communication and mentorship skills, with the ability to convey complex concepts to a range of audiences. Desired: * Bachelor's or Master's degree in a quantitative discipline (e.g., Computer Science, Engineering, Mathematics, Economics). * A software engineering mindset applied to data - understanding code reviews, automated testing, and environment separation (Dev/Staging/Prod) * Experience with code-based BI and semantic tools to orchestrate data pipelines (e.g., Looker/LookML, dbt, Cube.js, or Apache Superset). * Strong proficiency with Git version control and CI/CD tools (e.g., GitHub Actions, GitLab CI, Jenkins). * Experience with AI products such as Claude, Cortex, Glean, Gemini * Experience with GTM technology stacks (e.g., Salesforce, Gong, etc) * Experience evangelizing and establishing data culture and best practices within a fast-paced technology organization. ## Description This position is needed to advance the quality, reliability, and strategic value of Twilio's Go-To-Market (GTM) data by designing and maintaining robust business data models to enable trusted sales analytics, reporting, data science, & AI capabilities. The Staff, Business Intelligence Engineer will play a mission-critical role in our evolution from traditional BI to AI, ensuring data consistency and empowering data-driven decision-making., In this role, you'll perform: * Data Analysis and Interpretation: Utilize advanced analytical techniques to analyze large datasets, extract meaningful insights, and provide actionable recommendations to enhance revenue operations efficiency * Data Monitoring: Develop and maintain automated data reconciliation and quality checks to proactively identify and resolve discrepancies, ensuring accuracy and consistency of critical reports and dashboards. * Data Visualization: Create compelling visualizations to effectively communicate complex data insights, making information accessible and actionable for a diverse audience * Data Modeling: Build and maintain data models to support GTM, helping the organization make informed strategic decisions Data Automation (BI-as-Code): Drive the automation of our business intelligence ecosystem by treating dashboards and semantic layers as code. You will leverage Git, automated testing frameworks, and CI/CD pipelines to ensure our data infrastructure is reproducible, version-controlled, and highly scalable * Cross-Functional Collaboration: Work closely with various teams, including Sales, Marketing, Finance, and Product, to understand business requirements and provide analytical support * Continuous Improvement: Identify opportunities to enhance data quality, reporting processes, and analytics tools to drive continuous improvement in data analysis capabilities, We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. ## About Twilio **Industries:** Sales and Marketing, Telecommunications [Company profile](https://www.wearedevelopers.com/companies/3850-twilio) ### More Jobs at Twilio - [salesforce artificial intelligence architecture leadership documentation](https://www.wearedevelopers.com/jobs/ext/2000219-salesforce-artificial-intelligence-architecture-leadership-documentation) - [Engineer, Offensive Security Organization](https://www.wearedevelopers.com/jobs/ext/1992296-engineer-offensive-security-organization) - [Artificial Intelligence (AI)](https://www.wearedevelopers.com/jobs/ext/1952055-artificial-intelligence-ai) - [Senior Software Engineer (L3)](https://www.wearedevelopers.com/jobs/ext/1956800-senior-software-engineer-l3) - [Software Engineer, Platform Engineering (L2)](https://www.wearedevelopers.com/jobs/ext/1956829-software-engineer-platform-engineering-l2) ## Related Videos - [20 billion requests a week: Upgrading Twilio's API gateway at scale](https://www.wearedevelopers.com/videos/100234-20-billion-requests-a-week-upgrading-twilio-s-api-gateway-at-scale) - [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) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)