Okay, I've searched for data engineering internship roles in Atlanta, Georgia for Summer 2025 that involve Python programming, data visualization, collaboration in group settings, and are focused on health and wellbeing. I have found 12 positions that match these criteria.

Sure. Here's the analysis:

Job Analysis:

The Co-op in Delta Wellbeing - Data Engineering is fundamentally designed to enhance Delta's capacity to leverage data for improving employee and customer wellbeing. The primary responsibilities revolve around developing and maintaining data dashboards, AWS data pipelines, and platforms, which emphasizes a practical understanding of data engineering and analytics. This role requires the candidate to address challenges such as ensuring data integrity, enhancing user experience in reporting, and effectively communicating results to cross-functional stakeholders. Success in this role is indicated by the ability to autonomously implement high-quality data transformations and visualizations while maintaining rigorous attention to detail and proactive collaboration with others. Given the emphasis on data quality and usability, the candidate's ability to embrace innovative data tools and uphold Delta's core values will play a critical role in their effectiveness and impact within the team.

Company Analysis:

Delta Air Lines is a prominent force in the airline industry, renowned for its commitment to safety, customer service, and operational excellence. This positioning not only shapes the strategic intentions of the company but also reinforces the values expected of employees in roles like the Data Engineering Co-op. Delta's culture appears to promote collaboration, innovation, and social responsibility, reflecting its mission to connect diverse people and cultures. This role is likely situated within a matrixed organization, where the incumbent will have opportunities to work closely with various stakeholders across departments, providing meaningful insights to enhance wellbeing initiatives. The strategic alignment of this co-op position with Delta's broader goals of improving employee health and customer service illustrates its importance as a forward-thinking hire, harnessing data to drive innovation in wellbeing programs and ultimately strengthening Delta's market position.

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

• Can you describe a time when you had to analyze large datasets and what tools/approaches you used?
• Tell me about a specific project where you were responsible for data quality checks. What steps did you take to ensure the integrity of the data?
• Describe a situation where you encountered a technical challenge while completing a data visualization task. How did you resolve it?
• How would you prioritize tasks when presented with multiple stakeholders who require different data reports?
• What is your experience with Python, and can you provide an example of a project where you utilized it?
• Can you explain your understanding of SQL and describe how you would optimize a slow-running query?
• How would you approach building a new data pipeline in AWS for a wellbeing data initiative?
• Imagine you are tasked with improving the UX design of an existing report that has received mixed feedback. What specific steps would you take to understand user needs and implement changes?
• Why are you interested in working at Delta Air Lines, specifically in the Wellbeing Data Engineering team?
• How do you see your values aligning with Delta's core values of Honesty, Integrity, Respect, and Perseverance?
• What emerging technologies in data science or engineering are you excited about, and why do you think they could be beneficial for Delta's wellbeing initiatives?
• What questions do you have about the role or the team structure within Delta Wellbeing?
• How do you manage working in both group and individual settings, and what strategies do you use to ensure both environments are productive?
• How would you rate your ability to learn new data tools and technologies? Can you provide an example of a time you quickly adapted to new software?