Senior Data Engineer
Indexed description
Senior Data Engineer - Media Org (Hybrid NYC or LA)
I’m working on a Senior Data Engineer search with a leading media and digital platform organization that is building out a modern cloud data ecosystem and expanding its AI-driven data capabilities.
This team is focused on building and scaling a next-generation data platform supporting analytics, audience insights, machine learning, and large-scale media datasets across streaming and digital products. The role will involve designing batch and real-time data pipelines, working heavily within a Databricks environment, helping shape modern lakehouse architecture, and partnering closely with analytics, product, and data science teams. The engineering group is very collaborative and looking for someone who enjoys hands-on technical ownership while helping scale a modern data ecosystem.
Key Technical Requirements
• Strong Data Engineering experience building production data pipelines
• Strong PySpark and SQL expertise
• Experience with Databricks or similar Spark-based cloud platforms
• Experience building batch and streaming pipelines
• Experience with orchestration tools such as Airflow or similar
• Familiarity with AWS environments, data lakes, and modern cloud data architecture
• Experience with modern Lakehouse design patterns, including Medallion Architecture (Bronze, Silver / Gold layers) for structuring scalable and modular data pipelines
This is a full-time opportunity and unfortunately sponsorship is not available at this time (US Citizen or Green Card only).
If interested, please apply here!
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