Lead Product Software Engineer – ML Data Systems

🕒 5 days ago

🏢🏡 New York City – Hybrid

💵 $155.7k - $213.9k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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The Walt Disney Company

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1923

📱 Media

💰 Post-IPO Debt on 2020-04

Media • Entertainment

The Walt Disney Company is a global entertainment company known for its iconic storytelling, characters, and experiences across various platforms and devices. With a focus on delivering memorable experiences to guests worldwide, Disney operates through its iconic theme parks, media networks, and film studios. It is committed to respecting privacy and providing transparency in its data collection and usage processes. The company also ensures compliance with various privacy laws and offers options for consumers to manage their privacy settings. Disney's dedication spans across film, television, and interactive media, making it a leader in the media and entertainment industry.

📋 Description

• Design, build, and operate highly scalable software systems and services that support content discovery, personalization, and recommendation experiences • Develop and maintain distributed data processing platforms and service architectures that power both online and offline product workflows • Build foundational platform capabilities, including feature serving, model inference integration, experimentation infrastructure, and recommendation delivery services • Design reliable APIs and service interfaces that enable personalization capabilities across multiple ESPN products and surfaces • Lead architecture and technical design efforts for systems that must operate with high availability, low latency, and large-scale traffic demands • Partner with Machine Learning, Data Science, Product, and Platform Engineering teams to translate business objectives into scalable software solutions • Establish engineering standards, operational best practices, monitoring, observability, and reliability mechanisms across critical systems • Drive technical strategy and execution for next-generation personalization platforms and services • Mentor engineers and influence engineering practices across teams through technical leadership, design reviews, and architectural guidance

🎯 Requirements

• 7+ years of experience building and maintaining production-grade data pipelines and distributed data processing systems • Strong experience with modern data processing frameworks such as Spark, Flink, Beam, Kafka Streams, or equivalent • Experience designing and implementing real-time streaming data pipelines • Proficiency with SQL and schema design for large-scale analytical datasets • Familiarity with cloud data platforms (e.g., AWS) and modern data infrastructure components (e.g., data lakes, data warehouses, feature stores) • Experience supporting ML workflows (model training pipelines, feature engineering, data validation) • Strong knowledge of data quality frameworks and best practices, with hands-on experience using Databricks, Snowflake, and Apache Airflow for data pipeline orchestration and validation • Solid software engineering skills with experience in Python, Java, Scala, or similar languages • Strong problem-solving skills and ability to work independently in a fast-paced environment

🏖️ Benefits

• A bonus and/or long-term incentive units may be provided as part of the compensation package • Full range of medical, financial, and/or other benefits