Sr Engineer, Data Engineering

Builds and maintains robust data pipelines and transformation layers. Designs scalable data models, optimizes ETL processes, and ensures data quality and accessibility for analytics and business intelligence teams.

This role focuses on building and maintaining data pipelines and infrastructure for the IT department, enabling data-driven decision-making. The engineer will design, implement, and optimize ETL processes, manage data warehouses, and ensure data quality and accessibility. Requires strong experience in data engineering, SQL, Python, and cloud platforms like AWS.

Build and maintain scalable data pipelines and ETL processes to support analytics and data-driven decision making.

This senior data engineer designs and maintains scalable data pipelines for Dynata's survey and consumer data platforms. The role requires expertise in Python, SQL, cloud services, and orchestration tools to ensure data quality and availability.

This consultant role focuses on data science and analytics, applying statistical models and machine learning to solve business problems. The consultant will analyze complex datasets, build predictive models, and present insights to stakeholders.

This role is a senior data science and analytics position focused on deriving insights from data. The analyst will build predictive models, perform statistical analysis, and present findings to stakeholders. Requires strong data science skills and experience with machine learning.

This senior consultant role focuses on designing and implementing AI solutions for clients. The role involves building AI models, integrating them into business processes, and providing strategic guidance on AI adoption.