Sr Data Engineer

The Walt Disney Company

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$155,400–$208,400 / yr
Posted
4 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $171k
This role $182k
$132k most similar roles pay here $217k

This role pays more than 61% of similar roles. Most pay $140,418–$201,137 — the shaded band above. At the midpoint, this role pays about $182k 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

As a Senior Data Engineer on the Commerce, Data & Identity team at Disney+, you will be responsible for building and maintaining scalable data processing pipelines to support the company’s Identity Householding Data products. Your day-to-day tasks include enhancing existing codebases, improving data models, and ensuring reliable delivery of both real-time and batch data. You will work closely with Product Managers, Designers, QA teams, and other stakeholders to understand requirements and articulate technical decisions. The role requires expertise in Python, Scala/Spark, SQL, and distributed systems like Databricks, as well as experience with cloud databases such as Snowflake or Redshift. Additionally, you should be familiar with data integration tools like Airflow and have a solid understanding of Agile methodologies to promote continuous improvement within the team.

What you'll do

  • Build and maintain data products for enterprise-wide customer identifiers and groupings.
  • Enhance codebase to be extensible, reusable, and maintainable with increased unit test coverage.
  • Redesign data models based on architectural input to improve performance and efficiency.
  • Participate in on-call support and regular Agile ceremonies like stand-ups and retrospectives.
  • Develop scalable, fault-tolerant data processing pipelines for real-time and batch data delivery.

What we're looking for

  • 5+ years of experience in big data engineering with expertise in large-scale data pipeline development.
  • Proficient in distributed systems like Databricks and tools such as Spark, Presto, Hive for querying petabyte-level datasets.
  • Strong skills in Python, Scala/Spark, and SQL for processing big datasets efficiently.
  • Experience with major MPP or cloud database technologies (Snowflake, Redshift, BigQuery).
  • Solid understanding of data modeling techniques and data warehousing methodologies.
  • Hands-on experience with data integration and orchestration tools like Apache Airflow and CI/CD practices.
  • Operational expertise in multi-system production environments as a point-of-contact.

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