Software Data Engineer
Marketing
Analytics
Analytics Engineer
Artificial Intelligence
Big Data
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Integration
Data Integration Tools
Data Pipeline
Data Platform
Data Processing
Data Warehouse
Database
Databases
Digital Marketing
ETL
Informatica
Information Technology (IT)
Programming
Software Development
SQL
Job Description
Join Disney Entertainment Operations LLC to build the data foundation behind performance marketing. This onsite role sits inside the Disney media organization, where marketers, software engineers, data scientists, and analysts collaborate to power highly data-driven campaigns. You will help expand a technology portfolio that includes campaign planning tools, complex data science workflows, and web applications that turn advertising needs into data-backed insights.
Location: New York, NY (onsite)
Compensation: USD 113,700 - 152,400 per yearly
What you’ll do
- Support the Performance Marketing group by contributing to the development of a suite of tools used by the team
- Lead and uphold data engineering standards across the organization, including architecture, observability, pipeline development rigor, and documentation practices
- Design, create, and manage end-to-end data pipelines from source systems through to the end consumer teams, applications, and users
- Work closely with media and marketing experts to iterate from prototypes into production-ready pipelines and applications
- Implement quality controls, monitoring, and safeguards so optimizations are applied correctly and safely to in-flight ad campaigns and so key business metrics remain accurate
What you bring
- Bachelor’s degree in Computer Science, Information Systems, Software Engineering, or a related field (or equivalent work experience)
- 3+ years of experience designing and delivering backend architectures in a production environment, with strong knowledge of design patterns and best practices
- Strong, practical judgment around using AI/LLMs in software development, including the ability to separate hype from value and apply what works
- Experience with Spark and SQL, plus the ability to build simple, maintainable data pipelines on scaled data platforms
- Ability to dive deep into technical components and take ownership of complex systems
- Experience working in a fast-paced environment with cross-functional teams to turn business needs into reality-based requirements
Stack you’ll work with
- Spark, SQL, AI/LLMs, Python
- Databricks, Snowflake, AWS, Terraform
- DMPs and ad platforms including Google Ads, Facebook/Instagram, Innovid, LiveRamp, DSPs, Google Display Video, The Trade Desk, Yahoo
Additional notes
Onsite requirement: This is not a remote role. You must be in the local area or open to relocation.
Preferred qualifications
- Experience working effectively with data science teams
- Specific experience with Spark, Python, Databricks/Snowflake, AWS, Terraform
- Knowledge of media buying and ad platforms including DMPs, Google Ads, Facebook/Instagram, Innovid, LiveRamp, and DSPs (Google Display Video, The Trade Desk, Yahoo)