Azure Data Engineer

Hearst Television (HTV) is hiring an Azure Data Engineer to lead the build of our next-generation data platform. You will be instrumental in migrating our data infrastructure from legacy system to a cutting-edge Microsoft Fabric ecosystem. You will design the Medallion architecture, ensuring a seamless, scalable data flow from diverse source systems into our One Lake environment. This role is central to our mission of owning our data future and driving innovation in media sales.

• Pipeline Orchestration:
  Design, build, and deploy complex ETL/ELT pipelines using Azure Data Factory and Fabric Data Pipelines to power our enterprise analytics.
• Compute & Automation:
  Develop custom Azure Functions (Python) and API integrations to bridge gaps where native connectors are insufficient, ensuring no data source is out of reach.
• Hybrid Ingestion:
  Architect robust ingestion frameworks capable of handling high-velocity real-time APIs and structured scheduled landings (CSV/Parquet).
• Storage Optimization:
  Manage and optimize One Lake/Delta Lake storage to ensure peak performance for downstream Analytics Engineering and AI consumption.
• CI/CD & Dev Ops:
  Maintain and enhance Git Hub Action pipelines to automate deployments across Dev, Test, and Prod environments, ensuring a stable and reliable release cycle.
• Governance & Security:
  Implement best‑class data governance, privacy, and security practices, utilizing Managed Identities and VNETs to protect our data assets.
• Technical Troubleshooting:
  Perform root cause analysis on pipeline failures and implement automated monitoring to minimize downtime and points of failure.

• Experience:
  
  5–7 years as a Data Engineer in an enterprise environment with a proven track record in Azure Cloud.
• Cloud Architecture:
  Deep proficiency in Azure‑native components, including Azure Data Lake Gen2, API Gateway, and Microsoft Fabric.
• Coding & Scripting:
  Expert‑level Python (including API development with FastAPI) and SQL across relational and No
  
  SQL databases.
• Big Data Tools:
  Strong hands‑on experience with Spark (PySpark) and Delta Lake principles.
• Automation:
  Demonstrated experience with serverless compute (Azure Functions) and YAML‑based CI/CD workflows.
• Certification:
  Microsoft Certified:
  Azure Data Engineer Associate is strongly preferred.
• Soft Skills:
  
  Ability to lead architectural discussions and navigate complex cloud environments (Subscriptions, VNETs, Managed Identities).

At Hearst Television we tell stories every day. Stories about people of all backgrounds, perspectives, and identities. That’s why, behind the scenes, we believe in being an organization that fosters collaboration and open communication, ensuring that the content we create is authentic, accurate, and connected to the communities we serve.

• 401(k) matching
• Emotional Wellness Support

Hearst Television (HTV) owns and/or operates 35 television and two radio stations serving 27 media markets across 39 states reaching over 22 million U.S. television households. HTV is recognized as one of the industry's premier broadcasting companies and has been honored with numerous awards for distinguished journalism, industry innovation, and community service.

We are an Equal Opportunity Employer. we do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religion, creed, national, origin, physical or mental disability, protected veteran status, or any other characteristic protected by federal, state, or local law.