Lead Data Engineer - Solutioning

This engineering-first, developer-architect role owns the technical design of Azure-first data and AI platforms, defining reusable patterns and reference architectures. The Lead Architect will spend 70-80% of their time designing solutions, building and packaging reusable patterns, and prototyping new concepts in code, with the remaining time in client-facing advisory. This role requires production fluency with Terraform, deep Azure data platform experience, and hands-on AI solution design including RAG and agentic workflows.

This role designs and builds scalable data pipelines and infrastructure to support PENN Entertainment's analytics and data science needs. The Staff Data Engineer will lead technical initiatives, ensure data quality, and mentor junior engineers in best practices.

This lead role is responsible for designing and building data pipelines and infrastructure, leading a team to ensure data quality, availability, and scalability for analytics and machine learning. The engineer will architect robust data solutions to support Amadeus's data-driven initiatives.

Builds and maintains data pipelines and analytics infrastructure to enable data-driven decision-making across the organization. Requires expertise in SQL, data modeling, and ETL tools like dbt and Airflow, with experience in cloud data warehouses such as Snowflake.

The Coordinator of Client Services supports the ad sales team by managing client relationships, trafficking campaigns, and resolving operational issues. This role ensures seamless execution of advertising campaigns across ESPN's linear and digital platforms.

This Media Coordinator role supports media planning and campaign operations within a media/advertising organization. Responsibilities likely include coordinating ad trafficking, managing schedules, and supporting sales or marketing teams. Requires strong organizational skills and attention to detail.

This intern role supports quality operations and system auditing processes, focusing on monitoring and improving operational quality standards. Responsibilities likely include data collection, audit preparation, and process documentation to ensure compliance and efficiency.