Lead Engineer, Audience Data Platform

🕒 December 11, 2025

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Hearst Health

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

⚕️ Healthcare Insurance

☁️ SaaS

🏢 Enterprise

Healthcare Insurance • SaaS • Enterprise

Hearst Health is a division of Hearst Communications that focuses on guiding important care moments in healthcare by delivering vital information to all those involved in a person's health journey. It provides evidence-based clinical guidelines and healthcare workforce management solutions through its various subsidiaries including FDB (First Databank), Zynx Health, MCG, Homecare Homebase, MHK, and QGenda. Hearst Health aims to improve care quality and efficiency by using scalable technology to deliver clinical decision support and workforce management solutions, impacting the majority of people in the U. S. Its mission is supported by prominent leaders in the healthcare and technology sectors at Hearst Health.

📋 Description

• Lead the design and implementation of backend services and pipelines supporting contextual and audience targeting, taxonomy creation, and data ingestion. • Architect APIs, data models, and streaming workflows for real-time classification, recommendations, and audience insights. • Build and maintain Python-based (Quart/FastAPI) applications integrated with PostgreSQL, Redis, and event-driven architectures (AWS SNS/SQS). • Collaborate with and guide frontend engineers on full-stack development using React and modern web frameworks. • Integrate with core platform services for identity, metadata, and analytics to ensure seamless interoperability. • Design and manage multi-cloud infrastructure (primarily AWS, with GCP integrations for ML/data workflows). • Implement robust CI/CD, testing, and deployment pipelines. • Implement observability using Datadog, Sentry, and other monitoring tools. • Use modern AI development tools (e.g., GitHub Copilot, Codex, Claude) to accelerate delivery and improve code quality. • Partner with product managers and data scientists to evolve contextual AI and embedding models for privacy-safe, high-performance targeting.

🎯 Requirements

• 8+ years of software engineering experience, with strong Python backend and full-stack development skills. • 3–5 years leading technical design or architecture for scalable, data-intensive applications. • Proficiency in PostgreSQL (including pgvector) and Redis for performance and caching. • Hands-on experience cloud-based development, primarily AWS (S3, RDS, SNS/SQS, Lambda); exposure to GCP (Pub/Sub, BigQuery). • Familiarity with Docker, Kubernetes, and modern CI/CD workflows. • Comfortable using AI-assisted development tools for productivity, testing, and documentation. • Excellent communication and cross-functional collaboration skills across technical and non-technical partners.

🏖️ Benefits

• Work with the Best: Collaborate with top-tier professionals across media, advertising, tech, fashion, lifestyle, and publishing, shaping the future of these dynamic industries. • Grow Your Skills: Unlock your potential with access to innovative training programs, immersive workshops, and exclusive industry events. • Work-Life Harmony: Enjoy the flexibility of hybrid work, empowering you to balance professional success with personal priorities. • Foster Connection & Belonging: Join our Employee Resource Groups and help create a welcoming workplace where everyone feels valued and empowered. • Wellness First: Prioritize your well-being with a comprehensive benefits package that includes medical, dental, and vision insurance from Day 1. • Plan for Your Financial Future: Enjoy competitive financial perks, including a 401(k) plan with a generous company match.