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 to strengthen the Data Products & Platforms team. The role focuses on building and delivering data products that support Content Performance and Content Engagement, with an emphasis on scalable data warehousing and ELT pipelines.
This onsite position is based in Anaheim, CA, with a hiring range of $144,100.00-$193,200.00 per year. The position requires 5+ years of data engineering experience and a background designing large-scale data pipelines and performant datasets.
Responsibilities
- Contribute to the design and growth of Data Products and Data Warehouses for Content Performance and Content Engagement data.
- Design and develop scalable data warehousing solutions and build ELT pipelines across cloud, on-premise, or hybrid big data environments.
- Use the team’s stack, including AWS and Snowflake, along with DBT and Automic UC4 / Airflow to transform, store, retrieve, and distribute Cast & Operations data.
- Help architect data solutions and frameworks, applying dimensional modeling to define data assets using a medallion structure.
- Collaborate with Data Product Managers, Data Architects, and Data Engineers to design, implement, and deliver data solutions.
- Maintain detailed documentation of work and changes to support data quality and data governance.
- Ensure high operational efficiency and quality aligned to SLAs, with a dedicated focus on customers including Data Science, Data Analytics, and Business teams.
- Actively participate and advocate for agile/scrum practices to support team health and process improvements.
Requirements
- 5+ years of data engineering experience, developing large data pipelines.
- Strong SQL skills for extracting data and building performant datasets.
- Hands-on experience with AWS ingestion and processing services, including Lambda, Kinesis, DMS, AppFlow, and EventBridge.
- Experience with at least one major MPP or cloud database technology, including Snowflake, Redshift, or BigQuery.
- Expert-level experience with SQL/T-SQL, including 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 and maintaining data pipelines.
- Familiarity with data modeling techniques and data warehousing standard methodologies and practices.
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.
- Master’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or a comparable field of study, and/or equivalent work experience (preferred).
Technologies
- AWS, Snowflake, Data Build Tool (DBT), Automic UC4, Airflow
- ELT, Lambda, Kinesis, DMS, AppFlow, EventBridge
- Redshift, BigQuery, SQL, T-SQL
Pay Transparency
- The hiring range for this position in Anaheim, CA is $144,100.00-$193,200.00 per year.
- Base pay offered will consider internal equity and may vary based on geographic region, job-related knowledge, skills, and experience, among other factors.
- A bonus and/or long-term incentive units may be provided in addition to the full range of medical, financial, and/or other benefits.
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