Lead Software Engineer

The Walt Disney Company • Santa Monica, CA

101d • $152,200 - $204,100

About The Position

Disney Entertainment & ESPN Technology is reimagining ways to create magical viewing experiences while transforming Disney’s media business for the future. The Lead Software Engineer will focus on privacy solutions and data subject rights automation, working cross-functionally with analytics, data architecture, legal, and security partners to build scalable solutions to solve complex privacy-related challenges. This role involves understanding how data is used at Disney’s streaming services and utilizing the latest technologies available in AWS, Databricks, and beyond.

Requirements

• 7+ years of data engineering experience in software engineering in the data space.
• Strong software algorithmic problem-solving expertise.
• Strong fundamental Scala and Python programming skills.
• Good understanding of AWS or other cloud provider resources (S3).
• Strong SQL skills and ability to creatively problem solve.
• Hands-on production environment experience with distributed processing systems such as Apache Spark.
• Hands-on production experience with workflow orchestration systems such as Airflow.
• Scripting language experience (Bash, PowerShell).
• Familiarity with technologies such as OneTrust, Databricks, Jupyter, Snowflake, Redshift, Airflow, DynamoDB, Redis, Kubernetes, Kinesis, REST APIs, Terraform, Go.
• Willingness and ability to learn and pick up new skillsets.
• Self-starting problem solver with an eye for detail and excellent analytical and communication skills.

Nice To Haves

• Master’s Degree in Computer Science, Information Systems preferred.
• Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query).
• Experience in developing APIs with GraphQL.
• Experience in developing microservices.
• Deep understanding of AWS or other cloud providers as well as infrastructure as code.
• Familiarity with Data Modeling techniques and Data Warehousing standard methodologies.
• Familiar with Scrum and Agile methodologies.
• Familiarity with privacy regulations and/or data subject rights.

Responsibilities

• Be a key player in a cross-functional team of engineers who build software for a large-scale data processing ecosystem, supporting real-time and batch data pipelines for analytics, data science, and operations.
• Architect, design, and code shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across all data pipelines.
• Work to architect and build world-class modularized tooling to understand complex environments for simplification, migration, and maintenance.
• Maintain software engineering and architecture best practices and standards within the team and wider organization.
• Evangelize and evolve the platform, best-practices, and data-driven decisions; identify new use cases and features and drive adoption.
• Build out a robust observability, alerting, logging, and system control plane for easy diagnosis of issues across data pipelines.
• Contribute to maintaining, updating, and expanding existing software deployments while maintaining strict uptime SLAs.
• Contribute to developing and documenting internal and external standards and best practices for software deployments.
• Maintain detailed documentation of work and changes to support data quality and governance requirements.
• Participate and advocate for agile/scrum ceremonies to collaborate and improve processes.
• Collaborate with product managers, architects, and other engineers to drive the success of the Foundational Platform.

Benefits

• Medical, financial, and/or other benefits depending on the level and position offered.
• Bonus and/or long-term incentive units may be provided as part of the compensation package.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees