Sr Software Engineer

Sr Software Engineer Department/Group Overview

Disney Entertainment & ESPN & Technology is reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming Disney’s media business for the future. Whether that is evolving our streaming and digital products, powering worldwide advertising, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.

A few reasons why we think you would love working for Disney Entertainment & ESPN & Technology: building the future of Disney’s media business, reaching and scaling to delight millions of consumers every minute, and innovating groundbreaking products that shape industry norms.

We are seeking a highly skilled Senior Software Engineer to join our Content Platform Data Engineering team, focusing on building and enhancing platform capabilities with a strong emphasis on supporting our existing Data warehouse. The role involves designing and building scalable, reliable, and high‑performance data pipelines and data models that enable analytics, downstream applications, operational workflows, and visualizations. The engineer will collaborate closely with product managers, software engineers, data consumers, and cross‑functional partners to ensure data is accurate, accessible, and aligned with business needs across Disney’s direct‑to‑consumer lines of business.

• Write and maintain software solutions: design, write, test, and deploy high‑quality code to develop reliable, maintainable data solutions.
• Collaborate with cross‑functional teams: work closely with platform engineers, product teams, and stakeholders to ensure technical solutions effectively support business goals and content strategies.
• Production support: monitor and optimize production systems, ensuring platform stability, performance, and uptime.
• Mentorship: provide technical guidance and mentorship to junior engineers, fostering a culture of collaboration and continuous learning.

• 5+ years of relevant industry experience in data engineering or architecture.
• Proven track record of building and supporting production data pipelines and data platforms.
• Extensive experience with event streaming systems (e.g., Kafka) and data store technologies like Snowflake and Databricks.
• Proficiency with ETL/ELT pipelines and orchestration tools such as AWS Glue, AWS Lambda, and Apache Airflow.
• Deep understanding of data modeling concepts and robust SQL development.
• Expertise in designing scalable, cost‑effective cloud architecture and infrastructure.
• Hands‑on experience building and maintaining automated CI/CD pipelines.
• Full‑lifecycle application development experience, including unit testing, code reviews, and documentation.
• Familiarity with Agile/Scrum methodologies in a collaborative team environment.
• Excellent oral, written, and cross‑functional communication skills.
• Ability to work effectively with geographically distributed teams.

• Experience with cloud‑based data platforms (e.g., data lakes, data warehouses, or managed data services).
• Knowledge of streaming and batch data processing frameworks.
• Strong understanding of data quality, data governance, and observability practices.
• Experience supporting analytics, reporting, or downstream application use cases at scale.
• Exposure to integrating AI‑driven solutions into production systems.