Sr Data Engineer
Senior
3d Design Tools
Apache Airflow
Automation
Automic Uc4
AWS
Aws Data Warehouse
Big Data
Cloud
Cloud Data Warehouse
Cloud Data Warehouse
Cloud Operations
Cloud Platform
Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Build Tool
Data Engineer
Data Engineering
Data Integration
Data Integration Tools
Data Management
Data Modeling
Data Operations
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Transforms
Data Warehouse
Data Warehousing
Database
Databases
ETL
Eventbridge
Google Cloud Bigquery
Informatica
Integration
Rendering Engines
Snowflake
SQL
Workflow Orchestration
Job Description
Disney Experiences (DX) Tech & Digital is seeking a Senior Data Engineer for the Data Products & Platforms team. The role focuses on building and delivering scalable data warehousing and ELT solutions for content performance and engagement data using AWS and Snowflake.
Responsibilities
- Support the design and growth of Data Products and Data Warehouses centered on Content Performance and Content Engagement data.
- Design and develop scalable data warehousing solutions, including building ELT pipelines in big data environments (cloud, on-premise, hybrid).
- Use the DX data stack, including AWS and Snowflake, along with Data Build Tool (DBT) and Automic UC4/Airflow, to transform, store, retrieve, and distribute Cast & Operations data.
- Help architect data solutions and frameworks, using dimensional modeling to define data assets within a medallion structure.
- Collaborate with Data Product Managers, Data Architects, and Data Engineers to design, implement, and deliver successful data solutions.
- Maintain detailed documentation of work and changes to support data quality and data governance.
- Ensure high operational efficiency and quality to meet SLAs, with a dedicated focus on customers including Data Science, Data Analytics, and Business teams.
- Participate actively in agile/scrum practices to support team health and process improvements.
Requirements
- 5+ years of data engineering experience building large data pipelines.
- Strong SQL skills, including writing queries to extract data and create performant datasets.
- Hands-on experience with AWS services for ingesting process data, including Lambda, Kinesis, DMS, AppFlow, and EventBridge.
- Experience with at least one major MPP or cloud database technology: Snowflake, Redshift, or BigQuery.
- Expert-level experience with SQL/T-SQL and the ability to create and tune queries.
- Agile and Scrum experience.
- Strong attention to detail with excellent analytical, problem-solving, and communication skills.
- Solid experience with data integration toolsets such as Airflow, including writing and maintaining data pipelines.
- Familiarity with data modeling techniques and data warehousing methodologies and practices.
Required Education
- Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or a comparable field of study, and/or equivalent work experience.
Preferred Education
- Master’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or a comparable field of study, and/or equivalent work experience.
Technical Stack
- AWS, Snowflake, Data Build Tool (DBT), Automic UC4, Airflow, ELT
- Lambda, Kinesis, DMS, AppFlow, EventBridge
- Redshift, BigQuery, SQL, T-SQL
Compensation and Pay Transparency
- The hiring range for this position in Anaheim, CA is $144,100.00-$193,200.00 per year.
- Base pay offered may consider internal equity and may vary based on candidate geographic region, job-related knowledge, skills, and experience, and other factors.
- A bonus and/or long-term incentive units may be provided in addition to medical, financial, and/or other benefits.
Location
Anaheim, CA (onsite)
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