The Experience Data Engineer (DE) is an experienced consultant who has spent at least 3 years in a technical role, manipulating and managing data, and has grown in seniority in the data engineering domain.
At Calybre, the primary expectations of the Data Engineer are to consult with the customer to solve their data engineering needs, be current with the latest data engineering technologies, architectures, and methodologies, and to build the environments, pipelines, models and logic required to process data for use by the customer and data teams.
The Experienced DE has considerable depth of specialised knowledge in the field of data engineering, has an abiding passion for technology and is committed to continually growing and developing their skills and knowledge to ensure that they remain relevant.
As a Data Engineer II, you will build and enhance data platforms and pipelines to support GolfNow and the Sports Next ecosystem, ensuring reliable and scalable data solutions.
As a Data Engineer, you will work on diverse projects, focusing on data ingestion, storage, transformation, and visualization while collaborating with a team of experts.
As a Data Engineer, you will build and maintain data pipelines and infrastructure to support AI-driven information discovery for a federal financial regulatory agency.
As a Data Engineer, you will design and build data pipelines for machine learning, manage data workflows, and ensure the reliability and performance of data processing jobs.
As a Data Engineer on the SCC team, you will own the data modeling and pipelines that support critical infrastructure for Lyft's Associate and AI Agent Platform.
