Senior Engineer, Data Management

Why Hearst

Hearst is one of the nation's largest diversified media, information and services companies, with a portfolio of more than 360 businesses worldwide.

Our consumer businesses include television stations, newspapers, magazines and ownership stakes in cable networks.

Our business-to-business companies include Fitch Group, Hearst Health and Hearst Transportation.

Across our businesses, you'll find opportunities to do meaningful work, grow your career and make an impact.

About This Role

Hearst Technology Services is looking for a Senior Data Engineer to help shape our data and AI technology roadmap.

You'll own the full lifecycle of complex data projects - from analysis and design through development and production support - building pipelines and integrations that move data securely and reliably across cloud platforms.

You'll also help design the tooling that extracts, transforms, and governs data from both internal systems and external sources, and act as a technical resource for engineers, analysts, and data scientists across the business.

What You'll Do


* Design and build scalable, secure pipelines that ingest, transform, and move large volumes of structured and unstructured data across systems.


* Build APIs and complex database logic to automate the fetch, transformation, and storage of data in multiple formats.


* Use generative AI tools to accelerate the development, testing, and maintenance of pipelines across Snowflake, Microsoft Fabric, and Databricks.


* Architect and maintain modular, reusable components that power larger data and AI applications, deployed via containerized workflows (Docker/Kubernetes) where applicable.


* Design, build, and maintain data solutions across AWS, Azure, and/or Google Cloud.


* Implement data quality, security, and governance standards consistently across cloud environments, including integrations between platforms like Informatica IDMC and MDM.


* Securely handle PHI, PII, and PCI data in line with regulatory and internal compliance requirements.


* Partner with data analysts, data scientists, and IT operations to build tools and pipelines that power new data and AI products - including downstream reporting and BI use cases.


* Provide technical leadership on projects: mentor engineers, review designs, and offer guidance on complex technical or production issues.


* Apply DevSecOps practices and Agile methodologies (Jira, Scrum/Kanban) to plan and deliver work.


* Monitor and improve application performance, resiliency, and scalability as data volumes grow.

What You'll Bring
Required



* 7+ years building production data pipelines, with strong Python (or equivalent) and both relational and non-relational database experience.


* Hands-on experience with generative AI tools applied to data engineering workflows.


* Experience designing and maintaining data solutions on at least one major cloud platform (AWS, Azure, or GCP).


* Exper...