Data Engineer

November 26

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Kajabi

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eCommerce • Marketing • SaaS

Kajabi is a platform that empowers businesses to create, customize, and track digital content through URL shortening, QR code generation, and mobile-friendly landing page development. It offers a comprehensive suite of solutions that integrate tracking and analytics, making it easy for users to engage their audience and enhance their brand connectivity. With features like branded links, campaign tracking, and customizable QR codes, Kajabi serves various industries by providing tools that facilitate digital interactions and optimize marketing efforts.

201 - 500 employees

Founded 2010

🛍️ eCommerce

☁️ SaaS

💰 $550M Private Equity Round on 2021-05

📋 Description

• Design, build, and maintain scalable components of Kajabi’s data platform to support ingestion, transformation, observability, and analytics. • Develop and operate containerized services using Docker, and contribute to deployment workflows leveraging Kubernetes (EKS) and Helm. • Provision and manage infrastructure using Terraform within AWS and other providers. • Build and scale ingestion pipelines using tools such as Airbyte, Rudderstack, and Kafka. • Develop data pipelines and modeling workflows in Snowflake with DBT, ensuring performance, reliability, and best practices. • Design and scale real-time analytics datasets in ClickHouse to support high-concurrency production workloads. • Build Python services and tooling to automate, orchestrate, and integrate data processing. • Contribute to CI/CD workflows using GitHub Actions. • Use Datadog for monitoring, observability, and troubleshooting distributed systems. • Partner closely with production engineering to ensure data platform infrastructure aligns with Kajabi’s broader engineering standards. • Apply strong data governance and data quality practices across pipelines and platform components. • Participate in planning and execution workflows; familiarity with Shape Up and/or Agile methodologies is a plus.

🎯 Requirements

• Strong software engineering foundation with experience owning and operating infrastructure in a production environment. • Proficient with SQL and Python. • Deep experience with Docker and containerization. • Experience deploying services using Kubernetes (EKS) and Helm. • Experience with Terraform for cloud resource provisioning. • Extensive AWS experience, including S3, DynamoDB, Lambda, and Glue. • Experience with Snowflake. • Experience building pipelines and transformations with DBT. • Experience with Airbyte, Rudderstack, Kafka, and ClickHouse. • Experience with Datadog for observability and troubleshooting. • Experience with CI/CD using GitHub Actions. • Strong troubleshooting abilities for complex distributed systems. • Excellent written communication skills with clear, structured documentation abilities. • High level of organization and ability to collaborate effectively across engineering teams. • Understanding of data governance and data quality best practices.

🏖️ Benefits

• Competitive full-time salary + bonus + equity eligibility • Full medical, dental, and vision (company-paid for you + family) • 401(k) with 6% match • Flexible PTO • Fitness + wellness perks • Mental health resources • In-office lunches, collaboration days, and leadership growth opportunities