Okay, I've searched for full-time Data Engineer roles in Greensboro, NC requiring Azure Data Factory, SQL Server development, and Python skills, suitable for USC/GC candidates. I have found 34 positions for you.

Sure. Here's the analysis:

Job Analysis:

This Data Engineer/Developer role is fundamentally designed to enable seamless data movement, transformation, and accessibility within a technologically advanced corporate environment. The primary focus lies in developing scalable ETL pipelines using Azure Data Factory, Synapse, and Microsoft Fabric, which are critical for ingesting and processing data across platforms. The candidate is expected to blend backend data engineering with some frontend CRUD application development, indicating a need for versatility in building user-friendly interfaces on top of complex data workflows. This role requires ownership for troubleshooting, data accuracy validation, and responding to executive-level data requests, which underscores the importance of precision and stakeholder communication. The extensive reliance on Azure cloud components, alongside coding in SQL, Python, C# and scripting, shows a need for strong technical fluency in cloud-native, containerized architectures, and API integrations. Candidates must also demonstrate problem-solving agility—resolving complex data issues in ambiguous environments—while managing daily tasks independently. Success in this position means delivering reliable, automated data solutions that enable timely business intelligence, contributing directly to data-driven decision-making and operational efficiency within the company’s data ecosystem.

Company Analysis:

Programmers.io is a mature, ISO27001-certified global technology provider specializing in delivering fast, reliable digital transformation services with a focus on enterprise clients. The company’s emphasis on prompt project kickoffs, rigorous methodologies, and a diverse in-house skill set suggests a culture that values efficiency, continuous technical excellence, and client satisfaction at scale. Their expertise spans several industries, indicating a broad domain exposure that translates into complex, varied client requirements. For a data engineer, this means working within a professional, structured, yet innovative environment where security and compliance are paramount. The company’s distributed remote collaboration model and broad technology stack also imply a dynamic learning culture with cross-functional interaction. This particular role’s onsite requirement in Greensboro hints at closer team integration to facilitate deeper collaboration. The focus on cloud-native and enterprise technologies aligns with the company’s strategic goal of accelerating client digital initiatives, positioning this role as a crucial contributor to scalable, secure data infrastructure solutions that underpin programmers.io’s value proposition and rapid deployment guarantees.

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

• Behavioral: Tell me about a time when you had to troubleshoot a data inconsistency issue in an ETL process. How did you identify the root cause and what steps did you take to resolve it?
• Behavioral: Describe a situation where you had to coordinate with multiple teams across different functions to deliver a data solution. How did you manage communication and align priorities?
• Behavioral: Share an example of when you needed to quickly learn a new technology or tool to complete a project successfully. How did you approach the learning curve?
• Behavioral: How do you typically organize and prioritize your daily tasks when faced with shifting requirements and urgent requests, especially from senior leadership?
• Technical: Explain your experience with Azure Data Factory and how you would design an ETL pipeline to move data efficiently between different cloud storage solutions.
• Technical: How do you ensure data quality and integrity when working with distributed data systems and automated processes in Azure Synapse or Microsoft Fabric?
• Technical: What is your approach to writing APIs or integrating REST APIs within data workflows? Can you provide an example of how you built or consumed an API in a previous role?
• Technical: Discuss how you have utilized containerization tools like Docker in your development lifecycle and the benefits it brought to your projects.
• Situational: Imagine you discover data discrepancies during an executive report preparation that are traced back to a failing ETL job overnight. How do you handle communication, investigation, and resolution?
• Situational: If you are tasked with developing a CRUD front-end for non-technical end users to interact with complex datasets, how would you ensure usability while maintaining data security?
• Situational: How would you manage a scenario where you must deliver a critical data automation solution under a tight deadline, but you lack full clarity on all business requirements?
• Company Fit: What attracts you to working at Programmers.io, especially considering our emphasis on fast digital transformation and enterprise-scale solutions?
• Company Fit: How do you see yourself contributing to a team that embraces continuous learning and remote global collaboration?
• Company Fit: Our clients demand secure, compliant development practices. Can you describe your experience or approach to ensuring security compliance in cloud data projects?
• Questions to Ask Interviewer: How does this role directly contribute to the company’s key client projects and overall digital transformation strategy?
• Questions to Ask Interviewer: Can you describe the team dynamic for this role and what collaboration looks like between the onsite data engineers and the extended global team?
• Questions to Ask Interviewer: What are the biggest challenges the data team is currently facing, and how would success be measured for the person stepping into this position?