The Walt Disney Company

Senior Data Engineer

The Walt Disney Company

full-time

Posted on:

Location Type: Hybrid

Location: New York CityNew YorkUnited States

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Salary

💰 $148,700 - $199,400 per year

Job Level

About the role

  • Design, implement, and deploy robust data solutions for both batch ingestion and stream processing using Scala and Python with frameworks like Spark, primarily deployed via Databricks and Airflow.
  • Establish and enforce rigorous standards for code development, testing, and deployment to guarantee the highest levels of data quality, accuracy, and governance.
  • Extend functionality of Product Performance Data offerings by evolving existing data models and developing new data pipelines to introduce novel metrics and dimensions critical for measuring Disney+ engagement.
  • Maintain, update, and expand existing source code that powers core datasets, ensuring strict quality standards and high data reliability.
  • Drive platform and business success through active collaboration with Product Managers, Data Analysts, and cross-functional engineering teams to define requirements and deliver new data features.
  • Work within a modern data and engineering tech stack, including Airflow, Spark, Databricks, Delta Lake, Snowflake, GitHub Actions, and Jenkins.
  • Proactively investigate and resolve complex data pipeline failures and quality issues, performing root cause analysis, and creating comprehensive documentation to ensure data integrity and support operational efficiency.
  • Identify and implement technical optimizations to improve performance, scalability, and cost-efficiency of existing data pipelines, while providing technical guidance and mentorship on best practices.

Requirements

  • 5+ years of software engineering experience developing large data pipelines
  • Strong CICD and SDLC fundamentals
  • Strong algorithmic problem-solving expertise
  • Strong fundamental Scala and Python software engineering skills
  • Basic understanding of AWS or other cloud provider resources (S3)
  • Strong SQL skills and ability to create queries to analyze complex datasets
  • Hands-on production environment experience with distributed engineering systems such as Spark and Kafka
  • Hands-on production experience with orchestration systems such as Airflow
  • Some scripting language (Bash, PowerShell) experience
  • Willingness and ability to learn and pick up new skillsets
  • Self-starting problem solver with an eye for detail and excellent analytical and communication skills.
Benefits
  • A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
ScalaPythonSparkSQLCICDSDLCdata pipelinesalgorithmic problem-solvingBashPowerShell
Soft Skills
problem solveranalytical skillscommunication skillsattention to detailself-startingcollaborationmentorshiptechnical guidance