Okay, I've searched for Senior Data Engineer roles in Glendale, CA within the media industry, requiring 5 years+ experience, expertise in Python and SQL, and full-time schedule. I have found 73 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Senior Data Engineer role within Disney Entertainment and ESPN Product & Technology is fundamentally about architecting and sustaining a scalable, reliable, and high-performance Audience Manager Platform (AMP) that serves as a centralized repository for consumer data across Disney’s vast media ecosystem. This role is crucial to enabling Disney’s teams to act on unified audience insights, fueling personalized content delivery, targeted advertising, and business decisions at scale. The candidate must not only be deeply skilled in distributed data processing technologies like Spark and Hadoop but also be adept at translating business needs into technical specifications through effective cross-functional collaboration. They will face complex challenges such as managing the continuous inflow of enormous, heterogeneous data sets, ensuring data accuracy and timeliness, and evolving ETL pipelines to meet increasing scale and complexity. Success means delivering a robust platform that seamlessly integrates diverse data sources, supports agile product development cycles, and empowers stakeholders with trustworthy, actionable audience insights. The role demands a blend of strong hard skills—Python, SQL, cloud and MPP database expertise, API/backend development—as well as the soft skills to navigate ambiguities, communicate across technical and non-technical teams, and contribute actively within Agile frameworks. A strategic mindset for anticipating data quality issues and performance bottlenecks, alongside proactive problem-solving during on-call rotations, is essential. In the first 6–12 months, a successful candidate will establish reliable, optimized data pipelines, initiate collaborations to align on audience data strategy, and contribute to incremental enhancements in audience targeting capabilities aligned with Disney's broader product and business goals.

Company Analysis:

Disney Entertainment operates at the intersection of creativity and cutting-edge technology, positioning itself not merely as a media powerhouse but as an innovator shaping the future of global entertainment experiences. This environment is highly dynamic, mission-driven, and innovation-focused, requiring teams to balance storytelling magic with technical rigor and scalability. As a global leader with brands like Disney+, ESPN, and Hulu, the company’s vast scale amplifies the impact and complexity of its technological initiatives. The culture likely values collaboration, agility, and the ability to thrive in a fast-paced setting where engineering solutions directly influence consumer engagement and revenue. For a Senior Data Engineer, this means opportunities to be a significant contributor not just technically but strategically, partnering across product and business units and gaining visibility with leadership invested in data-driven decision making. Given the unified Product Engineering team’s scope—from personalization to commerce to identity—the role sits at a critical nexus between data, technology, and business stakeholders, offering the chance to drive innovation at scale while contributing to stabilizing and advancing core platforms. The position aligns with Disney’s strategic priorities to harness data as a competitive advantage and enhance fan engagement through personalized, seamless experiences, demanding adaptability, strong communication, and a passion for leveraging data to tell better stories.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to collaborate with both technical and non-technical stakeholders to deliver a complex data solution. How did you ensure alignment and success?
• Behavioral: Describe a situation where you identified a critical data quality issue in a production pipeline. How did you approach and resolve it?
• Behavioral: Share an experience where you had to participate in or lead Agile ceremonies like sprint planning or retrospectives. How did you contribute to the Agile process?
• Behavioral: Can you discuss a challenging incident during on-call support and how you managed the technical and communication aspects?
• Technical: How would you design and implement a scalable ETL pipeline to process cross-channel audience data in near real-time?
• Technical: Explain your experience with distributed systems such as Spark and Hadoop. How do you optimize query performance and resource utilization in these environments?
• Technical: What strategies do you use to develop data quality checks to ensure the integrity and accuracy of large, complex datasets?
• Technical: Describe your experience with cloud MPP databases like Snowflake or Redshift and how you approach data modeling in those platforms.
• Situational: Imagine you receive conflicting data from multiple sources feeding into the Audience Manager Platform. How would you reconcile or handle such discrepancies?
• Situational: Suppose a sudden surge in data volume causes pipeline delays and failures. Walk me through your troubleshooting and mitigation steps.
• Situational: You are tasked with building a new feature that enhances audience targeting capabilities but requires integration with a legacy data system. How do you plan and execute this integration?
• Company Fit: Why are you interested in joining Disney Entertainment and specifically working on the Audience Manager Platform?
• Company Fit: Disney values both innovation and storytelling. How do you see data engineering as contributing to these pillars?
• Company Fit: How do your personal values and work style align with a fast-paced, creativity-driven environment like Disney Entertainment?
• Questions for Interviewer: How does the Audience Manager Platform team collaborate with content and marketing teams to translate audience data into actionable insights?
• Questions for Interviewer: What are the biggest technical challenges currently facing the Audience Manager Platform, and what initiatives are planned to address them?
• Questions for Interviewer: How does Disney support continuous learning and professional growth for engineers working on complex, evolving platforms like AMP?