Okay, I've searched for Data Engineer roles in Trenton, NJ, with 3+ years of experience, offering remote work options, and requiring skills in Spark and Azure Cloud. I have found 47 positions for you.

Sure. Here's the analysis:

Job Analysis:

This Data Engineer 2 role at Humana is fundamentally about designing and maintaining scalable data architectures that transform vast and varied data sources into actionable insights supporting health-focused decision-making. The role demands a blend of strong technical skills — particularly with cloud-native tools such as Azure Data Factory, Databricks, Spark, and Scala — alongside software development best practices including CI/CD and test automation. These qualifications ensure the engineer can build robust, efficient, and reliable data pipelines essential for a large, complex healthcare organization where data quality, security (HIPAA compliance), and timely delivery directly impact service to members. The candidate will face challenges such as integrating diverse structured and unstructured datasets, working somewhat independently with minimal guidance, and navigating ambiguous situations that require sound judgment. Success in this role means consistently delivering performant, maintainable data solutions that align with broader business objectives, such as improving member health outcomes through data-driven insights. Additionally, the emphasis on AI/ML application highlights a strategic requirement to innovate and continually extract value from data, not just support existing systems.

Company Analysis:

Humana operates as a leading healthcare enterprise focused on improving health outcomes, evidencing both strong market standing and a mission-driven culture centered on well-being. The company values inclusive, supportive workplace policies, emphasizing whole-person wellness which suggests a compassionate, member-first environment. This culture likely fosters collaboration, respect for diversity, and work-life balance—important factors for candidate fit. Given Humana's Fortune status and Best Places to Work recognition, it likely maintains mature organizational processes balanced with innovation initiatives, especially in data and technology to advance healthcare delivery. This Data Engineer role lives at the intersection of technology and health services, embedded within a high-impact setting where data underpins critical service offerings. The role probably reports into a data or analytics team functioning cross-functionally, requiring the ability to influence both tech and business partners while maintaining compliance with regulatory frameworks. The remote work option combined with occasional travel indicates a flexible yet connected corporate environment. Strategically, this hire supports Humana’s digital transformation and data modernization efforts that directly feed into improving member care and operational agility.

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

• Behavioral: Tell me about a time when you had to build or optimize a data pipeline with minimal supervision. How did you approach it and what was the outcome?
• Behavioral: Describe a situation where you had to work with cross-functional teams to resolve data inconsistencies or conflicting requirements. How did you handle it?
• Behavioral: Share an experience where you had to learn a new technology or tool quickly to complete a project. How did you ensure success?
• Technical: How would you design a scalable data ingestion pipeline using Azure Data Factory and Databricks for mixed structured and unstructured data?
• Technical: What is your experience using Spark and Scala for big data processing, and how have you optimized performance in prior projects?
• Technical: Can you explain the role of CI/CD in data engineering workflows and how you have implemented test automation frameworks for data pipelines?
• Technical: How do you ensure data security and compliance, particularly with sensitive health-related information in a large enterprise environment?
• Situational: Imagine you discover that a pipeline processing critical member data is failing intermittently, but the logs provide insufficient detail. How do you troubleshoot and resolve the issue?
• Situational: If you were asked to incorporate new AI/ML components into an existing data architecture, how would you approach integrating them while maintaining pipeline stability?
• Situational: Suppose a new regulatory change requires specific data handling and reporting adjustments. How would you identify, plan, and implement these changes in your data workflows?
• Company Fit: What interests you about working at Humana specifically, and how do you see your skills contributing to our mission of putting health first?
• Company Fit: Humana emphasizes well-being and work-life balance. How do you manage stress and maintain productivity while working remotely?
• Company Fit: Humana values innovation in healthcare services. How have you applied innovative data engineering approaches to solve problems in your past roles?
• Questions for Interviewer: Can you describe how the Data Engineering team collaborates with other departments such as analytics and product teams at Humana?
• Questions for Interviewer: What are the biggest data challenges Humana expects this role to address in the next 12 months?
• Questions for Interviewer: How does Humana support continuous learning and career growth for technical roles like this, especially in emerging cloud and AI/ML technologies?