Sr Data Engineer

The Walt Disney Company

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $141,900–$190,300 / yr
Posted: 5 days ago
Closes: Jun 30, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $173k

This role $166k

$130k most similar roles pay here $215k

This role pays less than 52% of similar roles. Most pay $139,000–$207,223 — the shaded band above. At the midpoint, this role pays about $166k versus about $173k 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 154 open roles on FindRole.

Listed pay typically runs $141,900–$190,300 across 150 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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As a Senior Data Engineer on Disney’s Acquisition Marketing Engineering team in Commerce, Data & Identity, you will design and build scalable data pipelines using AWS, Databricks, Unity Catalog, Snowflake, and Airflow to support high-visibility acquisition reporting. Your day-to-day responsibilities include architecting ETL/ELT processes for marketing platform data, modernizing existing SQL scripts into Databricks UC with governance best practices, and implementing robust ingestion frameworks for vendor data. You will also develop metadata-driven pipeline components, collaborate with analytics teams to ensure reliable dashboard data, and contribute to engineering best practices through code reviews and technical design documentation. Essential skills include proficiency in PySpark, SQL, AWS services, and Airflow, along with experience in marketing data platforms like Meta Ads and Google CM360. This role involves working on large-scale data solutions for Disney’s media businesses, ensuring data accuracy and reliability across multiple platforms.

Skills

AWS Databricks Unity Catalog Snowflake Airflow PySpark SQL Delta Lake Git CI/CD Python JSON Parquet CSV Great Expectations Deequ Monte Carlo

What you'll do

Architect and build scalable ETL/ELT pipelines for acquisition reporting using Databricks and PySpark.
Lead migration of existing Snowflake-based SQL scripts to Databricks Unity Catalog with governance best practices.
Design robust ingestion frameworks for marketing vendor data, ensuring structured access and reliability.
Implement data quality checks and automated remediation workflows in collaboration with the Data Reliability team.
Develop parameterized pipeline components to accelerate onboarding of new vendors and datasets efficiently.
Improve pipeline performance, reliability, logging, and observability across all engineering projects.

What we're looking for

5+ years of experience as a Data Engineer or similar role.
Strong proficiency in SQL and hands-on experience with PySpark/Spark SQL.
Experience building pipelines in Databricks, including Delta Lake and Unity Catalog.
Strong understanding of data modeling, ETL/ELT design patterns, and distributed processing.
Proficiency with AWS services (S3, IAM, EC2, Glue, Lambda) and Airflow or similar tools.
Ability to work closely with cross-functional teams and mentor junior engineers.

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