Sr Data Engineer

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The Disney Decision Science and Integration (DDSI) team leverages advanced technologies, data analytics, and scientific approaches such as optimization and statistical modeling to build innovative tools that shape business decisions across The Walt Disney Company. We support Disney Entertainment (ABC, The Walt Disney Studios, Disney+, Hulu), ESPN, Disney Experiences (Theme Parks, Cruise Line, Consumer Products, DVC), and Corporate Finance with strategic applications that enable data-driven decision-making. 

The Sr Data Engineer supports a broad range of work, including data acquisition and validation, ETL/ELT pipeline development, database design and implementation, and ongoing evolution of the next-generation data platform to support applications, data services, ad hoc analytics, and self-service/POC initiatives.

Responsibilities

Senior Data Engineer will be responsible for partnering with our Studios or Enterprise Technology team members in various activities around data requirements gathering, data validation scripting and review, developing and monitoring ETL/ELT data pipelines, designing and implementing database schema/tables/views, plus deployment across multiple environments such as DEV, QA/UAT and PROD.

The role will leverage a multitude of technologies to fulfill the work including, but not limited to SQL, Python, Docker, Gitlab, Airflow, Snowflake, Looker and PostgreSQL.

Basic Qualifications

• 5+ years of experience in data engineering, data platform development, or backend engineering roles

• Hands-on Python development skills

• Ability to write, optimize, and troubleshoot SQL queries

• Proven ability to design, build, and maintain ETL/ELT data pipelines

• Working knowledge of cloud-based technologies, preferably AWS and S3

• Familiarity with Apache Airflow, Databricks, and generative AI tools

• Ability to design, build, and leverage relational databases

• Proficiency with GitLab and/or GitHub for version control and collaboration

• Ability to work with large datasets and cloud-based big data technologies such as Snowflake, Databricks, or similar platforms

• SQL query optimization skills focused on runtime performance and cost efficiency

• Participate in driving best practices around data engineering software development processes

• Background in data engineering roles

• SQL, Python, Snowflake, Gitlab, Airflow, AWS S3 and Relational Databases

• Cloud platform development skills

• Knowledge of data lakes, data warehouses, and application databases

Preferred Qualifications

• Experience with Snowflake, Airflow, Gitlab, Tableau

• Hands-on experience with generative AI and LLMs, including developer enablement and adoption.

• Experience in streaming, media, or digital marketing domain

Required Education 

• Bachelor's degree in advanced mathematics, Statistics, Data Science or comparable field of study, and/or equivalent work experience  

Preferred Education

• Master’s degree in advanced mathematics, Statistics, Data Science or comparable field of study, and/or equivalent work experience  

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