Okay, I've searched for full-time Data Engineer positions in Raleigh, NC, with remote work options, requiring at least 3 years of experience, and skills in Azure Data Factory and Databricks. I have found 142 positions matching your criteria.

Sure. Here's the analysis:

Job Analysis:

This Data Engineer 2 role at Humana centers on architecting, developing, and maintaining scalable data pipelines and architectures that transform complex data sets into actionable insights, directly supporting the company’s mission to put health first for its members. The emphasis on cloud-native platforms—namely Azure—and big data technologies like Databricks, Spark, and Scala points to a need for a technically versatile engineer who can handle massive, diverse data streams reliably and securely. Beyond just coding, the role demands strategic awareness of how data solutions align with broader organizational goals and the ability to make independent decisions in ambiguous scenarios, highlighting a blend of technical mastery and situational judgment. Key challenges include integrating structured and unstructured data for enterprise-scale analytics, collaborating across departments to understand data needs, and applying AI/ML techniques to enable improved healthcare outcomes. Success in this role would look like robust, automated data pipelines with high data quality, timely delivery of meaningful insights, and seamless adherence to regulatory/compliance requirements like HIPAA. The requirements for Agile and CI/CD methodologies imply a fast-paced, iterative development environment. Autonomy balanced with collaboration is essential, as is a mindset toward continuous learning and process improvement.

Company Analysis:

Humana operates as a leading, mission-driven healthcare company focused on improving member health outcomes with a strong presence in Medicare, Medicaid, and related healthcare services. As a Fortune-recognized Best Place to Work, it values associate well-being, inclusivity, and work-life balance, reflecting a culture that is respectful, purpose-oriented, and supportive. This is a company where the work directly contributes to people’s lives, so employees likely feel a strong sense of purpose combined with the discipline of regulated industry standards. The role’s remote nature combined with occasional in-person training reinforces a flexible, modern workplace accommodating diverse working styles. Humana’s investment in technology and data to drive innovation within healthcare aligns well with hiring a Data Engineer skilled in modern data ecosystems and AI/ML. The role appears to be an individual contributor position within a larger data and analytics organization, requiring collaboration across functions but also autonomy in delivering data solutions. Given the organization’s scale and complexity, this role carries significant responsibility and visibility toward driving data-driven transformation initiatives that impact the quality of member care. Joining Humana means stepping into an environment where strategic alignment to mission and technology integration is paramount, and success requires both technical expertise and a passion for healthcare innovation.

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

• Behavioral: Tell me about a time when you had to build a complex data pipeline under tight deadlines. How did you prioritize tasks and ensure quality?
• Behavioral: Describe an experience where you faced ambiguity in a project. How did you determine the right approach and keep stakeholders informed?
• Behavioral: Give an example of how you collaborated with cross-functional teams, such as data scientists or business stakeholders, to deliver a data solution.
• Behavioral: How have you contributed to improving a data engineering process or workflow through automation or tooling in your past roles?
• Technical: How would you design a data ingestion pipeline to handle both structured and unstructured healthcare data at scale on Azure?
• Technical: Explain your experience with Spark and Scala in developing data processing jobs. What are some best practices you follow?
• Technical: What strategies and tools do you use to ensure data quality and integrity in big data environments?
• Technical: Can you walk me through your experience with CI/CD pipelines for data engineering projects? How do you implement test automation in this context?
• Situational: Imagine you discover a critical data pipeline has failed overnight impacting member data updates. How would you diagnose and resolve the issue?
• Situational: If leadership requests a new data integration involving sensitive health data but the requirements are unclear, how would you approach gathering requirements and ensuring compliance?
• Situational: How would you balance the need for rapid delivery of data insights with adherence to strict data governance and HIPAA regulations?
• Company Fit: Why are you interested in working at Humana, specifically in a healthcare-focused data engineering role?
• Company Fit: How do your personal values align with Humana’s mission of putting health first and emphasizing well-being?
• Company Fit: Given Humana’s remote work culture combined with collaboration needs, how do you ensure effective communication and teamwork?
• Questions for Interviewer: How does the data engineering team at Humana collaborate with data science and product teams to deliver solutions?
• Questions for Interviewer: What are the biggest current data challenges Humana faces that this role will help address?
• Questions for Interviewer: How does Humana invest in professional development and support continuous learning for data engineering roles?