Senior Data Engineer

The Walt Disney Company

Confirmed live yesterday Trusted

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $155,400–$208,400 / yr
Posted: 92 days ago
Freshness: Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $173k

This role $182k

$125k most similar roles pay here $220k

This role pays more than 58% of similar roles. Most pay $134,599–$211,200 — the shaded band above. At the midpoint, this role pays about $182k 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 118 open roles on FindRole.

Listed pay typically runs $148,700–$199,400 across 118 roles with salary data.

Most-posted roles

View all roles at The Walt Disney Company

At a glance

TL;DR · Senior Data Engineer

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Sr Data Engineer joins the Ad Platforms team to build and maintain Identity Householding Data products that serve as a comprehensive source of truth for enterprise-wide customer identifiers and groupings. This role involves developing scalable, fault-tolerant data processing pipelines for both real-time and batch data while improving codebase extensibility, increasing unit test coverage, and redesigning data models to enhance performance and efficiency. The candidate will work with distributed systems like Databricks using Spark, Presto, and Hive to process petabyte-scale datasets. Required technical skills include Python, Scala, SQL, and experience with MPP or cloud databases such as Snowflake, Redshift, BigQuery, or Databricks. Additional expertise includes data modeling, Airflow for orchestration, CI/CD, AWS S3, and Terraform. The role addresses the complex problem of managing identity and device data across various media platforms.

What does a Data Engineer earn?

Median $183138 from 214 postings across 58 companies.

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Skills

Python Spark SQL Scala Databricks Snowflake Redshift Big Query Airflow AWS S3 Terraform Hive Presto Data Modeling Data Warehousing CI/CD Agile Scrum Kanban

What you'll do

Build and maintain product-driven initiatives to expand Identity and Device data offerings.
Develop scalable, fault-tolerant data processing pipelines for real-time and batch data delivery.
Improve the underlying codebase to ensure it is extensible, reusable, and maintainable.
Increase unit test coverage across the existing codebase.
Redesign data models to modernize products, improve performance, and reduce costs.
Participate in code reviews and technical problem-solving sessions.
Provide on-call support for production systems as a subject matter expert.

What we're looking for

Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or a comparable field of study.
5+ years of experience in big data engineering modeling and developing large data pipelines.
Hands-on experience with distributed systems like Databricks using Spark, Presto, or Hive to process petabyte-level datasets.
Strong proficiency in Python, Scala/Spark, and SQL for processing large datasets.
Experience with at least one major MPP or cloud database technology such as Snowflake, Redshift, BigQuery, or Databricks.
Familiarity with data modeling techniques and standard data warehousing methodologies.
Solid experience with data integration and orchestration tools like Airflow and CI/CD pipelines.
Solid experience with AWS S3.

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