> Markdown version of [/jobs/ext/3029398-data-engineer](https://www.wearedevelopers.com/jobs/ext/3029398-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). --- # Data Engineer - **Company:** The Walt Disney Company - **Location:** Glendale, CA, United States - **Experience:** Expert - **Salary:** $148,700.0 - $199,400.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Information Engineering, Distributed Systems, Python (Programming Language), SQL Databases, Data Streaming, Workflow Management Systems, Apache Spark, Apache Flink, Apache Kafka - **Published:** September 22, 2026 - **Apply:** https://www.thejobnetwork.com/job/0a99022b-150e-4b64-8a8c-ff8399a6af66/sr-data-engineer ## About the Role 5+ years of data engineering experience, with at least 1 year in a lead or senior technical role. \n * \n Experience building and scaling streaming data pipelines in large-scale, distributed environments. \n * \n Strong skills in Python, Java and SQL with expert level skill in either Python or Java. \n * \n Proven experience building streaming data pipelines (e.g., Kafka, Flink, Spark, Kinesis). \n * \n Experience with embedding pipelines and vector stores (e.g., Pinecone, Weaviate, FAISS, pgvector). \n * \n Strong knowledge of data modeling, storage optimization, and retrieval patterns for large-scale systems. \n * \n Hands-on experience with workflow orchestration tools (Airflow, Dagster, etc.)., Strong collaboration and communication skills, able to partner across AI engineering, infra, and product teams. ## Related Videos - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Building the platform for providing ML predictions based on real-time player activity](https://www.wearedevelopers.com/videos/944-building-the-platform-for-providing-ml-predictions-based-on-real-time-player-activity) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)