Data Engineer
Senior Data Engineer responsible for building scalable data pipelines, optimizing ETL processes, and managing large-scale data infrastructure on AWS. Leverages Python, SQL, and Spark to support AI-powered automation and analytics for a global SaaS platform.
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 Lead Data Engineer to own the event ingestion and identity layer that connects product instrumentation to downstream analytical systems. This role focuses on the operational reliability and correctness of event and identity data as it moves through the data platform. You will design and operate pipelines, schema validation, and replay workflows that ensure product events remain consistent and safe to use for analytics and customer-facing reporting. You will work closely with product engineering teams on instrumentation patterns, with the CDP team on event contracts and definitions, and with platform teams to ensure event infrastructure and analytical systems scale reliably. This role builds the foundational event and identity datasets required for reliable downstream modeling. Behavioral models, canonical entities, and business analytics datasets are owned by the analytics engineering team.
Responsibilities:
Posted June 27, 2026