Hearst · 6 hours ago
Senior Data Engineer
New York, NY
Full-time
Hybrid
Senior Level
$150K/yr - $165K/yr
5+ years expHearst is a leading global, diversified information, services, and media company dedicated to innovating, informing audiences and leading with purpose. They are seeking a highly motivated and skilled Senior Data Engineer to lead the architecture, deployment, and operation of data-driven platforms, bridging the gap between Data Science and Operations.
AdvertisingDigital MediaNewsPublishingTVTV ProductionVideo Streaming
Responsibilities
Data Pipeline Design & Orchestration: Design, build, and maintain robust data ingestion and transformation pipelines, leveraging modern orchestration tools to ensure reliable data flow for ML models
Core Development: Write clean, efficient, and well-tested code in Python for automation scripts, infrastructure tooling, and glue services connecting cloud components
API and Service Deployment: Design, develop, and deploy high-performance Python APIs (FastAPI/Flask) to serve machine learning predictions and core application logic
MLOps Pipeline Ownership: Design and manage end-to-end pipelines for continuous training, deployment, and versioning of high-impact ML models (e.g., recommendation systems)
Infrastructure Management: Architect and maintain scalable, fault-tolerant infrastructure using Kubernetes (GKE) across Google Cloud Platform (GCP)
Collaboration & Mentorship: Work closely with data scientists and software engineers; provide technical guidance and mentorship to junior team members
Qualification
Required
5+ years of professional experience in Data Engineering, Software Engineering, or Cloud Engineering
Deep expertise in Python for application development, data and automation
Proven experience building and deploying production-ready APIs and backend services using frameworks like FastAPI, Flask, or Django
Strong proficiency in SQL and experience designing/optimizing schemas for relational/NoSQL databases and data warehouses (e.g., BigQuery, Cloud SQL)
Hands-on experience with data pipeline and workflow orchestration tools such as Dagster or Airflow
Extensive experience designing and managing scalable services within the Google Cloud Platform (GCP) ecosystem (BigQuery, Pub/Sub, Vertex AI, Compute Engine)
Expert-level knowledge of Docker and Kubernetes, including hands-on experience with package management (Helm)
Preferred
Experience with Terraform, Crossplane, or similar tools to drive automated infrastructure provisioning
Experience configuring automated deployment and testing pipelines using GitHub Actions
Familiarity with monitoring, logging, and alerting solutions (Prometheus, Grafana, Cloud Logging) to diagnose production issues
Understanding of network architecture, security principles, and media industry compliance standards
Experience specifically focusing on MLOps in a production environment (model monitoring, drift detection, and automated retraining)
Benefits
Medical
Dental
Vision
Disability
Life insurance
401(k)
Paid holidays
Paid time off
Employee assistance programs
Company
Hearst
As one of the nation’s largest global, diversified information, services and media companies, Hearst has been leading with purpose and integrity and innovating for more than a century.
10001+ employees
H1B Sponsorship
Hearst has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2022 (6)
2021 (2)
Funding
Current Stage
Late StageLeadership Team
Mike DeLuca
President & Publisher, Hearst Connecticut Media Group & CEO LocalEdge, Hearst
Mitchell Scherzer
SVP & CFO & Board Director
Recent News
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