Join our engineering team as a Senior Data Engineer to play an instrumental role in the construction and maintenance of data collection systems, pipelines and management tools, ensuring scalability, flexibility, and efficiency using pipeline authoring tools like Metaflow and Spark.

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.

As a Data Engineer at TealBook, you will tremendously impact our engineering team and the broader organization, building the next-generation supplier data platform. You will design, build, test and deploy the required backend services to enable the system to ingest, process, store and distribute/present supplier data at web scale.

Develop data infrastructure to ingest, sanitize and normalize a broad range of medical data. Build performant and expressive interfaces to the data and create infrastructure to help us scale up data ingest, and large-scale cloud-based machine learning. This is a fully remote position open to candidates across the United States.

You will work with an ambitious team, building our data-centric, AI-driven Contract Lifecycle Management software solutions. You will collaborate with product domain experts, application software engineers, and Cloud Ops engineers, to architect, build, maintain and optimize data models, databases, and data centric services.

Drive the successful development of solution architecture and the completion of data pipeline connectors that automate the flow of data between client Claim and Clinical data platforms and our analytic health solution platform. Efforts will be critical to driving the long-term partnership between Arcadia and customers.

Join the data team as a Data Architect, designing, optimizing, and implementing conceptual and logical data models. Responsibilities include analyzing requirements, designing database schemas, implementing data migration strategies, and ensuring secure storage of company information. Proficiency in SQL and NoSQL is essential, with data visualization skills highly desirable.