Okay, I've searched for Data Engineer roles in Denver, CO that require at least 7 years of experience, with a salary range of $120,000 to$135,000, within the tech industry, and that offer hybrid work arrangements. I have found 57 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Data Engineer role at Audacy is fundamentally about designing, building, and optimizing the data infrastructure critical for business insights and operational excellence within a large digital audio ecosystem. The primary responsibilities include the development of batch and streaming data pipelines, utilizing cloud technologies like AWS and GCP, and maintaining scalable data models and ETL processes. This role requires a collaborative spirit, as the Data Engineer will interface with analytics and product teams to derive actionable insights. Candidates will need to address challenges such as handling terabytes of varied data, ensuring data governance, and adapting to emerging technologies. Success in this role will manifest as a robust data infrastructure that enhances operational efficiency and supports data-driven decision-making across the organization. The problem-solving aspect involves balancing data integrity with speed and scalability, requiring the ability to navigate ambiguity and prioritize effectively.

Company Analysis:

Audacy stands out in the media industry as a leading multi-platform audio content and entertainment company. It occupies a significant position in the digital landscape, combining traditional radio broadcasting with innovative audio streaming and podcasting solutions. This market position informs the Data Engineer role’s impactful scope, as the infrastructure developed will directly support various operational functions, enhancing both product innovation and audience engagement. The company's culture appears to emphasize collaboration, curiosity, and a focus on growth, which can cultivate an environment conducive to professional development for the candidate. The role fits within a dynamic technical team structure where contributions can have a high visibility to leadership. Audacy's strategic focus on innovative audio content and data-driven insights suggests that this Data Engineer role could play a pivotal position in scaling operations and enhancing the efficacy of data-driven decision-making, directly aligning with the company’s broader goals of leading in the audio content sector.

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

• Tell me about a time when you had to optimize a data pipeline to improve performance. What challenges did you face and how did you overcome them?
• Describe a project where you had to work in a cross-functional team. What was your role and how did you contribute to the team's success?
• Can you provide an example of a time you had to quickly learn a new technology or tool to complete a task? How did you approach the learning process?
• How would you design an ETL process to handle large volumes of real-time data? What key factors would you consider?
• Explain your experience with cloud data warehouses such as Snowflake or BigQuery. How do you determine which one to use for specific projects?
• What strategies do you employ when developing test cases for data engineering workflows?
• Imagine you notice a significant drop in the performance of a data pipeline. How would you approach diagnosing and resolving the issue?
• If you were tasked with ensuring compliance with data governance practices, what steps would you take to implement and monitor these practices?
• What aspects of Audacy's mission and company values resonate with you the most, and why do you think that is important in your work?
• How does your experience prepare you to work in an environment focused on digital audio content and data-driven solutions?
• What interests you about being part of Audacy, and what unique contributions do you believe you can bring to our team?
• What do you see as the biggest challenge facing data engineers in the audio industry today, and how would you propose to tackle it?
• Do you have any questions about the team dynamics and culture at Audacy?
• How do you stay current with emerging technologies in data engineering, and can you give an example of how you've applied a new technology in a project?