Senior Data Engineer, Ad Platform

The Walt Disney Company

full-time

Posted on: 9/24/2025

Origin: • 🇺🇸 United States • California

✨ AI Apply

💰 $136,038 - $191,180 per year

Senior

AirflowAWSAzureCloudEC2ETLJavaJenkinsKafkaPySparkPythonScalaSparkSQL

About the role

Contribute to the design and growth of our Data Products and Data Warehouses around Ad data
Use strong analytical thought to exercise judgement and identify solutions for recommendation
Partner with technical and non-technical colleagues to understand data and reporting requirements
Collaborate with Data Product Managers, Data Architects, and other Data Engineers to design, implement, and deliver successful data solutions
Contribute to the design of table structures and defining of data pipelines to build performant Data solutions that are reliable and scalable in a fast-growing data ecosystem
Develop Data Quality framework and data checks and Build safeguards for pipeline failures and minimize data quality issues
Develop and maintain ETL routines using ETL and orchestration tools such as Airflow
Serve as an advanced resource to other Data Engineers on the team, and mentor and coach more junior members of the team helping to improve their skills, knowledge, and productivity
Design and implement the different stages of the Data pipelines, using AWS and Snowflake
Collaborate with others to identify new ways to help make our data platform more scalable, resilient, and reliable and then work across our team to put your ideas into action

5+ years of data engineering experience developing large data pipelines
Strong understanding of data modeling principles including Dimensional modeling & data normalization principles
Strong expertise in writing SQL queries and a deep understanding of Kafka, Spark, and Snowflake
Familiarity with AWS services, including Lambda, CloudWatch, Step Functions, EC2, CloudFormation, and Jenkins
Strong understanding of SQL Engines and able to conduct advanced performance tuning
Strong communication skills – in both written and verbal presentations
Familiarity with Agile Scrum principles and ceremonies
Bachelor’s Degree in Computer Science, Information Systems or related field, or equivalent work experience
Preferred: Masters Degree in a related field, and/or related certification/s
Preferred: Strong experience programming languages (e.g. Java, Scala, Python, Pyspark)
Preferred: Strong experience with data orchestration/ETL tools (Airflow, Nifi)
Preferred: Experience with Snowflake/Databricks/EMR/Spark
Preferred: Experience with AWS, Azure, Kafka or other cloud technologies
Preferred: Experience with Machine Learning / AI a plus