Description
Hearst Technology Services is hiring a Senior Data Engineer to own the full lifecycle of complex data and AI projects, including pipeline and integration development, cloud data solutions, data quality, security, governance, and production support. The role requires 7+ years of production data engineering experience, strong Python or equivalent skills, cloud platform experience, ETL and data modeling expertise, containerization knowledge, and experience with data integration and governance tools. The position also involves technical leadership, mentoring, Agile and DevSecOps delivery, and collaboration with analysts, scientists, and business stakeholders.
