Join us as a Data Engineer to help develop and maintain our rapidly growing data platform. You will be responsible for implementing scalable data pipelines, contributing to the development of custom tools, and ensuring massive datasets are processed efficiently to drive critical business decisions.
Responsibilities:
Implement and maintain scalable, production-grade data pipelines and infrastructure that support analytics and new product features.
Build and contribute to internal software and tooling that improves data team workflows, focusing on driving structure, maintainability, and engineering best practices.
Develop and manage key components of our new data platform, ensuring high reliability, performance, and scalability.
Work closely with security researchers, data analysts, and product teams to translate innovative cybersecurity ideas into functional, production-ready data solutions.
Apply and support best practices in data quality, governance, and observability to ensure our data systems remain robust and trustworthy as we scale.
Responsibilities:
Implement and maintain scalable, production-grade data pipelines and infrastructure that support analytics and new product features.
Build and contribute to internal software and tooling that improves data team workflows, focusing on driving structure, maintainability, and engineering best practices.
Develop and manage key components of our new data platform, ensuring high reliability, performance, and scalability.
Work closely with security researchers, data analysts, and product teams to translate innovative cybersecurity ideas into functional, production-ready data solutions.
Apply and support best practices in data quality, governance, and observability to ensure our data systems remain robust and trustworthy as we scale.
Requirements:
BS or MS in Computer Science or a related technical field.
3+ years of experience as a Data Engineer.
3+ years of hands-on Python development experience as part of an engineering team.
Familiariry with modern data lake and data warehouse concepts, including the separation of compute, storage, and metadata layers. Hands-on experience with Trino + Iceberg or similar architectures is a strong advantage.
Hands-on experience with orchestration tools such as Airflow.
Hands-on experience delivering production-grade data pipelines and applications in cloud environments (GCP preferred), from development and CI/CD to deployment and production operations.
Hands-on experience with Kubernetes, including deploying and managing applications with Helm and configuring production-ready environments – Advantage
BS or MS in Computer Science or a related technical field.
3+ years of experience as a Data Engineer.
3+ years of hands-on Python development experience as part of an engineering team.
Familiariry with modern data lake and data warehouse concepts, including the separation of compute, storage, and metadata layers. Hands-on experience with Trino + Iceberg or similar architectures is a strong advantage.
Hands-on experience with orchestration tools such as Airflow.
Hands-on experience delivering production-grade data pipelines and applications in cloud environments (GCP preferred), from development and CI/CD to deployment and production operations.
Hands-on experience with Kubernetes, including deploying and managing applications with Helm and configuring production-ready environments – Advantage
This position is open to all candidates.
