Join the dynamic data platform team as a Data Engineer. Play a crucial role in designing, building, and maintaining scalable data pipelines that drive our data-driven decision-making processes. Collaborate closely with analytics engineers, DevOps, and other engineering teams to ensure data is accessible, reliable, and optimized for various business needs.

Calix is looking for a Data Engineering Intern to join our Information Security team for the summer months, building and maintaining our cloud-based enterprise data platform. Key areas include data pipeline flow, data warehousing, security, data integrity processes, and data QA best practices.

Saviynt is seeking a Principal Data Engineer to lead the development, administration, performance optimization, and upgrade process for ElasticSearch. The ideal candidate will own the strategy and execution for scalable, high-performance search and analytics solutions, ensuring optimal data indexing, retrieval, and storage efficiency. This role is critical to modernizing our data infrastructure.

Unlock offline & real-time access to trillions of data points for our ML and Data Science teams by managing, expanding, and optimizing our feature store that enables feature engineering, multi-TB scale training jobs, and offline / real-time inferencing. Support PB scale data operations on the feature store using Apache Spark, Spark Structured Streaming, Kafka, and Ray. Partner with other teams and business stakeholders to deliver ML and AI initiatives.

The Data Intelligence Intern will work on the Data Intelligence Platform engineering team, focusing on customer-facing apps and tools to leverage our cloud platform services. Responsibilities include collaborating with a team, designing components, and contributing to build, test, and deployment pipeline automation.

Build and improve ML models, including retraining and optimizing open-source models to solve Samsara-specific problems. Work with petabyte-scale data from Samsara’s cameras and diverse sensors to develop new multimodal models. Research and apply cutting-edge technologies from the latest industry and academic research.

Translate unstructured business problems into well-defined machine learning projects. Collaborate with a cross-functional team to identify and manage high leverage opportunities for modeling work. Design and implement highly generalizable models for predicting various outcomes. Take responsibility for modeling implementation in real world settings.

Build and maintain a scalable data platform that supports multiple business functions, including engineering, legal, sales, marketing, and governance. This platform enables real-time and batch data processing, ensuring high data quality and compliance with privacy regulations.

Build high performance, scalable data solutions that meet the needs of millions of agents, brokers, home buyers, and sellers. As a Senior Data Engineer, you’ll design, develop, and test robust, scalable data platform components. You’ll work with product engineers to understand their data pipeline needs and come up with innovative solutions.

The Staff Data Engineer role involves designing, developing, and maintaining data pipelines and infrastructure to support marketing strategies, ensuring efficient data collection, storage, and analysis, requires collaboration with data scientists and stakeholders to provide high-quality data for insights and decision-making and deliver innovative solutions aligned with company's vision.