Sr Data Engineer

The Walt Disney Company

Remote

Quick summary

Work type: Remote
Location: Santa Monica, CA
Salary: $141,900–$190,300 / yr
Posted: 4 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $171k

This role $166k

$132k most similar roles pay here $212k

This role pays less than 53% of similar roles. Most pay $140,418–$201,137 — the shaded band above. At the midpoint, this role pays about $166k versus about $171k for comparable roles.

Based on 240 similar postings.

Employer

About The Walt Disney Company

The Walt Disney Company is a diversified global entertainment and media enterprise operating in segments including Disney Parks, Experiences and Products; Entertainment (ABC, Hulu, Disney+); and ESPN. Industry: Entertainment & Media

The Walt Disney Company currently has 169 open roles on FindRole.

Listed pay typically runs $148,300–$198,800 across 165 roles with salary data.

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View all roles at The Walt Disney Company

At a glance

TL;DR · Sr Data Engineer

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The Senior Data Engineer role at Disney+ involves partnering with business and analytics teams to design and build data pipelines that measure subscriber movements and support revenue generation initiatives. This position requires designing scalable data warehousing solutions using AWS, Databricks, Snowflake, Spark, and Airflow, while also contributing to the growth of data products and maintaining detailed documentation for data quality and governance. The ideal candidate has 5+ years of experience in developing large data pipelines, a strong understanding of data modeling principles, and proficiency in SQL engines and programming languages like Python and Pyspark. They will work within Disney’s Content Data Solutions team to address complex business problems related to content performance analysis at scale.

Skills

AWS Snowflake Databricks Spark Airflow Python Pyspark SQL Dimensional Modeling ETL Data Warehousing Scrum Agile CI/CD

What you'll do

Design and develop scalable data warehousing solutions using AWS, Databricks, Snowflake.
Build ETL pipelines in Big Data environments to facilitate measuring subscriber movements.
Define data models for underlying data warehouse and marts to support business analytics.
Maintain detailed documentation of work and changes to ensure data quality and governance.
Collaborate with teams to design, implement, and deliver successful data solutions efficiently.
Ensure operational efficiency meets SLAs while supporting Data Science and Analytics teams.

What we're looking for

5+ years of data engineering experience developing large-scale data pipelines.
Strong understanding of data modeling principles and dimensional modeling techniques.
Proficient in SQL, Python, Pyspark, and ETL development for Big Data environments.
Experience with cloud-based data warehousing solutions like Snowflake or Redshift.
Ability to design and maintain scalable data warehouse solutions and frameworks.
Excellent communication skills for collaboration across business and technical teams.
Bachelor’s Degree in Computer Science or related field; Master’s preferred.