Join Caylent as a Senior Principal Data Architect and become the technical expert who unlocks complex challenges and shapes how we deliver transformational outcomes for clients across multiple projects simultaneously. You will serve as the technical escalation expert and develop methodologies that become Caylent IP and contribute to AI-driven automation tools. You will represent Caylent through thought leadership and mentor teams.
We are seeking a highly skilled and experienced Senior Data Engineer to join our growing data team, responsible for designing, building, and maintaining scalable data pipelines and models that support our analytics, AI, and business intelligence initiatives. This role involves close collaboration with stakeholders to ensure data is accessible, reliable, and optimized for performance, focusing on designing, developing, and maintaining robust, scalable, and efficient data pipelines using modern tools and frameworks.
We are seeking a Senior Analytics Engineer to join our Data Platform team and help scale the delivery of clean, high-trust, and reusable data assets across Cohere Health. You will lead the design and implementation of advanced data models, drive the standardization of our semantic layer, and elevate the quality, performance, and usability of data.
The Senior Data Engineer will translate business priorities into data, create reliable data pipelines, and take ownership of elevating Calibrate's data infrastructure. This role involves improving data infrastructure with a scheduler, staging environment, and data quality checks, and maintaining data pipelines for business intelligence and analytics.
As a Sr Data Scientist, the role involves working with a team to develop advanced recommendation engines and deploy machine learning models into production environments; leveraging expertise in Python and MMM, along with experience in MLOps, and playing a pivotal role in enhancing data-driven decision-making processes.
Work independently to continue to learn the system and products by reviewing resources and documentation, testing, and engaging with design, development, Product Owner and stakeholders in great detail. You will design, build, and maintain efficient ETL/ELT data pipelines and develop and optimize SQL queries for large-scale data processing.
Apply technical expertise to lead agile teams as a Artificial Intelligence & Machine Learning, Senior Advisor with a Scrum Master background in working on unusually complex development challenges and provide product solutions in accordance with Agile Methodologies. You will work with architects and developers to build the basic structure of the system, defines essential core design features and elements that provide the framework.
This Senior Data Engineering Manager role involves driving major projects, developing innovative data-driven solutions that integrate distributed data sources, perform large-scale learning and reasoning, and integrate results within BLEND360, which means spearheading data engineering teams, laying out project architecture, selecting tech stacks, and planning development cycles using AGILE.
The Primary focus for this Senior Engineering position will be to support SAS transition priorities. Create and or convert existing SAS code to Spark. Optimize Spark jobs performance and resource usage, identifying and addressing bottlenecks and inefficiencies in backend systems. Design, develop, and maintain high-quality backend software components and services, ensuring functionality, performance, and scalability.
Focused on designing, developing, and maintaining robust ETL pipelines and data infrastructure within AWS GovCloud environments. You will work closely with cross-functional teams to ensure that data from a variety of sources is efficiently processed, analyzed, and visualized to monitor and optimize system performance. You will use a combination of AWS native services and open-source software to create scalable and high-performance data pipelines.