Data Engineer II

The Walt Disney Company

Remote

Quick summary

Work type: Remote
Location: New York, NY
Salary: $112,000–$150,100 / yr
Posted: 6 days ago
Closes: Aug 31, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $168k

This role $131k

$101k most similar roles pay here $217k

This role pays less than 74% of similar roles. Most pay $129,750–$205,337 — the shaded band above. At the midpoint, this role pays about $131k versus about $168k 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 190 open roles on FindRole.

Listed pay typically runs $148,300–$198,800 across 187 roles with salary data.

Most-posted roles

View all roles at The Walt Disney Company

At a glance

TL;DR · Data Engineer II

Role Posting Log in to save

Join the Product Performance Team at Disney ESPN & Entertainment Technology as a Data Engineer II and help develop reliable data solutions for measuring product performance of Disney+. This role involves designing and building large-scale batch and real-time data pipelines using Spark Structured Streaming on Databricks, developing reports and dashboards with Snowflake, and writing production-grade code in Scala and SQL. You will own the end-to-end lifecycle of data products from ingestion to consumption by analytics teams, implement complex data transformations, and manage infrastructure on AWS. Proficiency in Spark Structured Stream, Databricks platform, and Apache Airflow is essential, along with strong programming skills in Scala and Python, advanced SQL skills, and experience with CI/CD for data pipelines. This role requires a solid understanding of data modeling concepts and excellent problem-solving and communication skills to address complex business questions through robust data solutions.

Skills

Spark Scala SQL Apache Airflow Databricks AWS Snowflake CI/CD Git Python Kafka Delta Lake Unity Catalog Jenkins GitHub Actions PostgreSQL HDFS YARN Zeppelin

What you'll do

Design and develop large-scale batch and real-time data pipelines using Spark Structured Streaming on Databricks.
Write production-grade code in Scala and SQL for complex data transformations.
Own the end-to-end lifecycle of data products, from ingestion to consumption by analytics teams.
Implement workflow orchestration using Apache Airflow or Databricks.
Build and manage AWS infrastructure with expertise in cloud-native data architectures.
Ensure data quality through monitoring, alerting, and lineage solutions.
Optimize Spark jobs and clusters on Databricks for performance and cost efficiency.

What we're looking for

3+ years of hands-on data engineering experience
Proficient in Spark Structured Streaming and Databricks platform
Strong programming skills in Scala and advanced SQL
Experience building and scheduling workflows in Apache Airflow
Solid understanding of AWS services for data engineering
Bachelor’s degree in Computer Science or equivalent required
Excellent problem-solving, communication, and leadership skills

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