Senior Data Engineer

The Walt Disney Company

Senior Data Engineer at Disney designing and optimizing data pipelines for acquisition reporting. Collaborating across AWS, Databricks, and Snowflake to ensure data accuracy and reliability.

Posted 5/6/2026full-timeSanta Monica • California, New York, Washington • 🇺🇸 United StatesSenior💰 $141,900 - $190,300 per yearWebsite

Tech Stack

Tools & technologies

AirflowAWSEC2ETLPySparkSparkSQLUnity

About the role

Key responsibilities & impact

Architect, build, and maintain scalable ETL/ELT pipelines for acquisition reporting using Databricks, PySpark, SQL, and Unity Catalog.
Lead the modernization effort to migrate existing Snowflake‑based SQL scripts and transformations into Databricks UC with best practices in governance and structured access.
Design robust ingestion frameworks for marketing vendor data.
Implement data quality checks, monitoring, and automated remediation using Databricks, Snowflake, Airflow, and internal frameworks.
Develop metadata-driven, parameterized pipeline components to accelerate onboarding of new vendors and datasets.
Partner with the Data Reliability Engineering team to integrate SLA-based incident detection, logging, alerting, and auto-recovery workflows.
Collaborate with analytics and marketing stakeholders to understand reporting needs and ensure reliable dashboard data.
Improve pipeline performance, reliability, logging, and observability.
Contribute to engineering best practices, code reviews, technical design docs, and framework enhancements.
Mentor junior engineers and contribute to team-wide architectural decisions.

Requirements

What you’ll need

5+ years of experience as a Data Engineer or similar role.
Strong proficiency in SQL (analytical SQL, complex joins, window functions).
Hands-on experience with PySpark and/or Spark SQL in production.
Strong understanding of data modeling, ETL/ELT design patterns, and distributed data processing.
Experience building pipelines in Databricks, including Delta Lake, Unity Catalog, data governance, and Lakehouse patterns.
Strong experience in AWS (S3, IAM, EC2, Glue, Lambda, or related services).
Proficiency with Airflow or similar orchestration tools.
Experience building robust ingestion pipelines and working with semi‑structured formats (JSON, Parquet, CSV).
Experience with Git/GitHub, CI/CD, and modern DevOps practices.
Excellent communication skills and ability to work with cross‑functional partners.
Bachelor’s degree in computer science, Information Systems or related field.

Benefits

Comp & perks

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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

ETLELTSQLPySparkdata modelingdata governancedata quality checksDelta LakeAWSDevOps

Soft Skills

communicationmentoringcollaborationleadershipproblem-solving