Data Engineer, Data Products

This role focuses on engineering data products at Dynata, involving the design, development, and optimization of data pipelines and datasets. The engineer will work with large-scale data to support business intelligence and analytics initiatives.

The Data Engineer (Mid-level) builds and maintains data pipelines and infrastructure to support analytics and data science initiatives. The role involves ETL processes, data modeling, and ensuring data quality and accessibility.

This Data Engineer role involves building and maintaining data pipelines and infrastructure to support analytics and business intelligence. The engineer will work with large datasets, ensure data quality and reliability, and collaborate with data scientists and analysts to enable data-driven decision-making.

This role supports, analyzes, tests, and enhances behavioral data products to ensure high-quality outputs for clients and internal stakeholders. It focuses on maintaining and improving data product quality and reliability.

This role works directly with customers to implement and optimize marketing strategies using Minerva's platform, bridging product and customer success. It ensures clients achieve measurable results and value from AI-driven insights.

Design and build scalable data infrastructure to support Minerva's AI models and consumer intelligence platform. Work on large-scale data pipelines, data quality, and data governance to enable advanced analytics and machine learning.

This role develops predictive models and algorithms to understand consumer behavior and drive revenue for enterprise clients. It collaborates with engineering and product teams to integrate models into the platform and deliver actionable insights.