Okay, I've searched for Senior Data Engineer roles in Columbus, OH requiring 7+ years of experience with skills in Azure and SQL, and remote full-time positions. I have found 47 positions that match your criteria.

Sure. Here's the analysis:

Job Analysis:

The Senior Data Engineer - Transactional Data role at McKesson is fundamentally focused on architecting, developing, and maintaining robust data platforms that enable reliable and scalable processing of transactional data. This role is critical in providing high-quality, trustworthy data infrastructure that supports both internal and external stakeholders, notably product engineering teams working on mission-critical healthcare solutions. Given the complexity and volume of data involved, the candidate will grapple with integrating varied data sources — structured and unstructured, batch and real-time — and ensure data flows are optimized for performance, quality, and compliance. A strong emphasis on collaboration with analysts and product teams indicates this is not a siloed technical role; rather, it demands a strategic mindset to translate business needs into scalable data models and pipelines. The ideal candidate must thrive in ambiguity, solving nuanced problems ranging from data governance to system integration, while working within a fast-evolving health tech environment. Success in this role equates to delivering stable, secure, and responsive data services that empower decision-makers to improve healthcare access and affordability. This involves technical mastery of cloud technologies (especially Azure), data warehousing, SQL programming, and event streaming, alongside excellent communication and leadership by influence to proactively address platform health and emergent business challenges.

Company Analysis:

McKesson occupies a commanding space as a Fortune 10 leader in healthcare distribution and solutions, with a clear mission of making healthcare accessible and affordable. The company’s culture appears anchored in impact, innovation, collaboration, and care — not only for patients but for employees and communities. This suggests the environment demands commitment, agility, and alignment with their purpose-driven approach. For a Senior Data Engineer, this means working in a technically sophisticated yet mission-oriented setting, where the work directly influences patient outcomes. The role is positioned within CoverMyMeds’ Technology team, emphasizing a highly technical, results-driven, cross-functional culture where data engineering underpins product innovation. McKesson’s scale and growth trajectory imply the role will have visibility and strategic weight, requiring someone who can lead complex data initiatives while integrating feedback from multiple stakeholders. The company’s commitment to diversity and inclusion signals a respectful and supportive workplace where collaboration thrives. Moreover, McKesson Canada’s focus on automation and patient safety highlights a broader organizational direction toward smarter, tech-enabled healthcare delivery, further underscoring the strategic importance and impact of data roles within the company.

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

• Behavioral: Tell me about a time when you had to collaborate across multiple teams to deliver a complex data engineering solution. How did you manage conflicting priorities?
• Behavioral: Describe a situation where you identified a critical data quality issue. What steps did you take to resolve it and prevent recurrence?
• Behavioral: Share an example of when you led by influence rather than authority. How did you ensure your technical recommendations were accepted?
• Behavioral: Can you discuss a challenging project where you had to balance technical constraints with business requirements? How did you approach this?
• Technical: How would you design a data ingestion pipeline that handles both batch and real-time streaming data, ensuring reliability and scalability?
• Technical: Explain your experience with cloud data platforms, particularly Azure and Azure Data Factory. What best practices do you follow?
• Technical: What strategies do you use for database design and modeling specifically tailored to transactional systems?
• Technical: How do you apply data governance principles in your engineering workflows to maintain data quality and compliance?
• Situational: Imagine a key data pipeline suddenly fails in production, affecting downstream reporting. How would you troubleshoot and communicate the issue?
• Situational: Suppose a product team requests additional data elements that challenge existing infrastructure capabilities. How would you evaluate and respond to this request?
• Situational: If you discover conflicting definitions of business logic between different stakeholders during a data modeling exercise, how would you reconcile these differences?
• Company Fit: What excites you about working at McKesson, particularly in the healthcare and pharmaceutical automation space?
• Company Fit: How do you see your data engineering skills contributing to McKesson’s mission of making healthcare more accessible and affordable?
• Company Fit: McKesson values a culture of diversity and inclusion. How have you supported or experienced inclusivity in your previous teams?
• Questions for interviewer: How does the Data Engineering team at McKesson measure the impact of their solutions on patient care and business outcomes?
• Questions for interviewer: Can you describe the company’s approach to fostering collaboration between data engineers and product teams here?
• Questions for interviewer: What are the foremost challenges McKesson’s data engineering group anticipates over the next year, and how might this role contribute?