Senior Data Engineer

The Walt Disney Company

full-time

Posted on: 9/17/2025

Origin: • 🇺🇸 United States • California, New York, Washington

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💰 $138,900 - $203,900 per year

Senior

AirflowAmazon RedshiftAWSCloudDistributed SystemsETLPySparkPythonSparkSQL

About the role

Contribute to the design and growth of our Data Products and Data Warehouses around Content Performance and Content Engagement data.
Design and develop scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid)
Help architect data solutions/frameworks and define data models for the underlying data warehouse and data marts
Collaborate with Data Product Managers, Data Architects and Data Engineers to design, implement, and deliver successful data solutions
Maintain detailed documentation of your work and changes to support data quality and data governance
Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to our customers (Data Science, Data Analytics teams)
Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team

5+ years of data engineering experience developing large data pipelines.
Strong understanding of data modeling principles including Dimensional modeling, data normalization principles.
Experience using analytic SQL, working with traditional relational databases and/or distributed systems (Snowflake or Redshift), required.
Good understanding of SQL Engines and able to conduct advanced performance tuning.
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills – written and verbal presentations.
Comfortable working in a fast-paced and highly collaborative environment.
Experience programming languages (e.g. Python, Pyspark), preferred.
Experience with data orchestration/ETL tools (Airflow, Nifi), preferred.
Experience with Snowflake, Databricks/EMR/Spark & Airflow a plus.
Bachelor's Degree in Computer Science, Information Systems or related field, or equivalent work experience.