Senior AI & Data Engineer: Cloud-Native Data & AI

The Walt Disney Company

Celebration (FL)

On-site

USD 135,000 - 181,000

Full time

14 days+
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Benefits offered by this job

Bonus & incentives
Medical coverage
Retirement benefits

Job summary

The Walt Disney Company seeks a Data Engineer III within Disney Experiences Intelligence (DXi) to craft AI-powered data platforms and scalable pipelines. You will work across the data lifecycle, from architecture to delivery, applying innovative data strategies in a fast-paced, cloud-based environment.

You will collaborate with Data Strategy and AI teams, emphasizing performance, quality, and adaptability to evolving business needs.

Qualifications

  • Minimum 5 years of related work experience in data engineering or analytics.
  • Strong fundamentals in data pipelining, ELT/ETL, data architecture, and lifecycle.
  • Hands-on design and implementation of efficient data workflows.
  • Proficiency in SQL/NoSQL, and multi-language development.

Responsibilities

  • Design, construct, and supervise architecture for data platforms and pipelines.
  • Streamline data flow, routing, and storage across cloud and on‑premise.
  • Apply AI-ready methods with big data, AI, and ML techniques.
  • Ensure data quality, compatibility, and security across connections.
  • Align data operations with organizational priorities and strategy.
  • Stay current with emerging data technologies and best practices.
  • Provide escalation support and help enhance existing tools as needed.

Skills

SQL
Python
Java
Apache Spark
ETL Design
Data pipelines

Education

Bachelor’s degree in Computer Science or related field

Tools

Snowflake
MongoDB
DynamoDB
AWS
GCP
Airflow

Job description

The Walt Disney Company seeks a Data Engineer III within Disney Experiences Intelligence (DXi) to craft AI-powered data platforms and scalable pipelines. You will work across the data lifecycle, from architecture to delivery, applying innovative data strategies in a fast-paced, cloud-based environment.

You will collaborate with Data Strategy and AI teams, emphasizing performance, quality, and adaptability to evolving business needs.

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