Staff Data Engineer

This role involves working as a senior data engineer focused on AI, likely building and maintaining data pipelines and AI infrastructure for the company's customer experience platform. The position is part of the engineering team and requires expertise in data engineering and AI technologies.

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.

Builds and maintains data pipelines, warehouses, and ETL processes. Optimizes data infrastructure for analytics and machine learning.

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 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.

This role builds and maintains data products that power Minerva's consumer intelligence platform. It focuses on data ingestion, transformation, and delivery to ensure high-quality, reliable data for customers and internal teams.

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.