Data Engineer
We're looking for a Data Engineer focused on designing and building scalable technical solutions. This lead role requires 9+ years of relevant experience.
About HighLevel : HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes. To date, businesses operating on HighLevel have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure at scale. By centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently. Behind the platform, HighLevel powers more than 4 billion API hits and 2.5 billion message events daily. With 250 terabytes of distributed data, 250+ microservices and over 1 million domain names supported, our architecture is built for performance, resilience and long-term scalability. Our People With over 2,000 team members across 10+ countries, HighLevel operates as a global, remote-first organization built for speed and ownership. We value initiative, clarity and execution, creating space for ambitious people to build systems that support millions of businesses worldwide. Here, innovation thrives, ideas are celebrated and people come first, no matter where they call home. Our Impact Every month, HighLevel enables more than 1.5 billion messages, 200 million leads and 20 million conversations for the more than 1 million businesses we support. Behind those numbers are real people building independence, expanding opportunity and creating measurable impact. We’re proud to be a part of that. Learn more about us on our YouTube Channel or Blog Posts
About the Role:
We are looking for a Staff Analytics Engineer to lead the modeling and semantic foundation of our Customer Data Platform. This role sits at the intersection of product data, analytics engineering, and data platform architecture. You will define how product events become structured behavioral datasets that power analytics, product insights, machine learning, and in‑app reporting. You will partner closely with product, engineering, marketing, data science, and platform teams to ensure that behavioral data is reliable, well‑modeled, and consistently defined across the company.
Responsibilities:
Posted June 26, 2026