Sr. BI Engineer

Overview

Position: Sr. BI Engineer Location: US (Remote)  Level: P2 Schedule: 9 AM - 5 PM CST

HighLevel is an AI powered, all-in-one white-label sales & marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 2 million businesses, comprised of agencies, consultants, and businesses of all sizes and industries.

HighLevel empowers users  with all the tools needed to capture, nurture, and close new leads into repeat customers. As of mid 2025, HighLevel processes over 4 billion API hits and handles more than 2.5 billion message events every day. Our platform manages over 470 terabytes of data distributed across five databases, operates with a network of over 250 microservices, and supports over 1 million hostnames.

Our People With over 1,500 team members across 15+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home.

Our Impact As of mid 2025, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve each month. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen. .

Requirements

Engineer, you are a detail-oriented problem solver with a passion for turning complex data into actionable insights. You have a deep understanding of data structures, business

, and reporting needs, enabling you to design and implement scalable data solutions. Your technical expertise spans data warehousing, pipeline development, and visualization tools, allowing you to empower stakeholders with reliable and efficient data-driven decisions.You thrive in a collaborative environment, take ownership of data governance, and are proactive in identifying opportunities for process automation and optimization. What You’ll Be Doing: Data Strategy, Architecture, and Ownership - Own the end-to-end data lifecycle, from ingestion and transformation to delivery, ensuring alignment with business priorities and analytical goals. - Architect and oversee scalable, high-performance data pipelines and warehouse structures that serve as the foundation for company-wide analytics and automation.- Partner with Engineering and Product teams to establish data design standards, naming conventions, and quality benchmarks, ensuring long-term sustainability and performance. - Drive decisions on data architecture, tooling, and storage optimization, balancing scalability, cost, and performance tradeoffs. Data Modelling, Quality, and Governance - Lead data modeling efforts that