Okay, I've searched for Senior Data Engineer roles in Columbus, OH, requiring 7+ years of experience, skills in Azure and SQL, a Bachelor's degree in Computer Science or related field, and full-time schedule. I have found 143 positions matching your criteria.

Sure. Here's the analysis:

Job Analysis:

The Senior Data Engineer at McKesson, specifically within the CoverMyMeds Technology team, is fundamentally hired to architect, build, and maintain high-quality, scalable data solutions that support transactional data needs across multiple internal and external stakeholders. This is not just a hands-on coding role; it requires a strategic outlook to data platform reliability, security, and governance while proactively partnering with product and technology teams. The focus on transactional data management means the engineer will face complex challenges such as integrating heterogeneous data sources, managing both structured and unstructured data, and ensuring real-time data accuracy for operational and analytic purposes. Success in this role involves delivering accurate, timely, and robust data pipelines that empower business units and product engineering teams to make informed decisions. The job demands deep expertise in cloud data technologies, especially with Azure, and experience handling event streaming, real-time analytics, and OLTP transactional systems. Beyond technical skills, this role expects strong communication and collaboration abilities to translate complex business requirements into effective data architectures, as well as creativity and urgency to navigate technical roadblocks. This blend of strategic vision and tactical execution ensures that data remains a trusted asset supporting McKesson’s mission to improve healthcare accessibility and affordability.

Company Analysis:

CoverMyMeds, as part of McKesson, operates within a critical intersection of healthcare and technology, driving medication access through an extensive network that connects the majority of electronic health records, pharmacies, providers, and payers. Positioned under the umbrella of a Fortune 10 company, CoverMyMeds enjoys the stability, resources, and scale of a market leader while maintaining a mission-driven, impact-focused culture. The company's emphasis on innovation, collaboration, and service to community health likely creates a fast-paced but purpose-filled work environment—ideal for professionals motivated by meaningful outcomes. Within this context, the Senior Data Engineer role gains both visibility and strategic import, bridging technical execution and business impact in a highly collaborative setting. The organizational culture values ownership and clear communication, expecting engineers to lead by influence rather than authority. Given the company’s scope and complexity, this role is suited for someone who thrives at the intersection of advanced technology, complex healthcare data, and cross-functional teamwork. Taking this job is not just about technical prowess; it involves embracing a mission to make healthcare simpler and more equitable, aligning personal ambition with a broader societal purpose.

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

• Behavioral: Tell me about a time when you had to design a data pipeline integrating multiple disparate data sources. What challenges did you face, and how did you overcome them?
• Behavioral: Describe an experience where you identified a significant data quality issue in a transactional system. How did you approach diagnosing and resolving it?
• Behavioral: Give an example of how you led or influenced a cross-functional team to adopt a new data engineering best practice or tool.
• Behavioral: How have you handled situations where you needed to communicate complex technical information to non-technical stakeholders?
• Technical: Walk me through your experience with Azure Data Factory. How have you used it to design and manage data workflows in past projects?
• Technical: What strategies do you use when modeling data for transactional systems versus analytical systems? How does this affect your architecture decisions?
• Technical: Explain how you have implemented real-time data streaming solutions using tools like Kafka or Databricks. What were the key design considerations?
• Technical: How do you approach building data governance into your data pipelines to ensure accuracy, compliance, and security?
• Situational: Imagine you discover that a critical data ingestion pipeline has intermittent failures affecting downstream reports. How would you triage and resolve this?
• Situational: If a product team requests new data capabilities that conflict with existing data governance policies, how would you handle the situation?
• Situational: Suppose you are tasked with scaling a transactional data platform to accommodate a sudden increase in data volume without impacting performance. What steps would you take?
• Company Fit: What attracts you specifically to McKesson and the CoverMyMeds mission to improve medication access through technology?
• Company Fit: How do your personal values align with our focus on health, happiness, and well-being for both employees and the communities we serve?
• Company Fit: Working at a Fortune 10 company with a fast-moving, impact-driven culture can bring challenges. How do you stay motivated and productive in such environments?
• Questions for Interviewer: Can you describe the current biggest data challenges the CoverMyMeds Data Engineering team is facing?
• Questions for Interviewer: How does McKesson support continuous learning and career growth for senior engineers within the Data Engineering group?
• Questions for Interviewer: What metrics or outcomes constitute success in this role within the first year?