> Markdown version of [/jobs/ext/4269546-sr-data-engineer](https://www.wearedevelopers.com/jobs/ext/4269546-sr-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Sr Data Engineer

- **Company:** Disney Parks Technology Services Co., LLC
- **Location:** Anaheim, CA, United States
- **Experience:** Expert
- **Salary:** $135,200.0 - $181,200.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Airflow, Amazon Web Services, Big Data, BigQuery, Cloud Database, Information Systems, Content Analysis, Information Engineering, Data Governance, Data Integration, Data Systems, Data Warehousing, Database Queries, Dimensional Modeling, Scrum Methodology, SQL Databases, Data Processing, Snowflake, Data Build Tool (dbt), Information Technology, Data Analytics, Data Pipelines, Amazon Redshift
- **Published:** October 20, 2026
- **Apply:** https://www.dice.com/job-detail/ff51e08e-19b3-4937-b004-9d3c8e90bbd9

## About the Role

Do you love data? Are you a supportive contributor who can drive excellence in delivery? Come join us! We are looking for a Senior Data Engineer to develop and successfully deliver data products and solutions., * 5+ years of data engineering experience, developing large data pipelines

 * Strong SQL skills writing queries to extract data and build performant datasets
 * Hands-on experience with AWS tool stack such as Lambda, Kinesis, DMS, AppFlow, EventBridge) to ingest process data
 * Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, Big Query)
 * Expert level experience with SQL/T-SQL and 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 (Airflow) and writing and maintaining Data Pipelines
 * Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices

Required Education:

 * Bachelor\'s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or 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 comparable field of study, and/or equivalent work experience.

#Disneytech

## Description

* Contribute to the design and growth of our Data Products and Data Warehouses around Content Performance and Content Engagement data.
 * Design and develop scalable data warehousing solutions, build ELT pipelines in Big Data environments (cloud, on-premise, hybrid)
 * Use our tech stack including AWS, Snowflake, Data Build Tool (DBT) and Automic UC4/Airflow to transform, store, retrieve, and distribute Cast & Operations data.
 * Help architect data solutions/frameworks and use dimensional modeling to define data assets in 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 your work and changes to support data quality and data governance
 * Ensure high operational efficiency and quality of your solutions to meet SLAs and support a dedicated focus on our customers (Data Science, Data Analytics and Business teams)
 * Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team