Okay, I've searched for Senior Data Engineer roles in Rochester, Minnesota, full-time positions requiring supply chain analytics expertise, 7+ years of experience, and a Bachelor's degree in Computer Science. I have found 43 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Senior Data Engineer role at Versique is fundamentally about architecting and advancing the company's supply chain analytics capabilities through robust and scalable data infrastructure. This position requires not just technical mastery in data engineering—such as designing ETL/ELT pipelines with tools like Google BigQuery, Python, and Informatica—but also deep domain expertise in supply chain data, including logistics, procurement, and inventory management. The role demands a strategic thinker who can translate complex business requirements from Sales and Marketing into actionable data models and insightful dashboards that drive decision-making. Success here means delivering high-performing, maintainable data pipelines and reports that empower leadership with accurate, timely insights. Given the emphasis on cross-functional collaboration and leading data initiatives, strong communication and leadership skills are critical. One can expect to face challenges related to integrating diverse data sources, optimizing complex queries, and ensuring data quality and performance at scale. The autonomy to innovate, troubleshoot ambiguous technical problems, and advocate for data best practices within a rapidly evolving business environment will be key. Early success might be measured by the ability to stabilize and enhance existing supply chain data infrastructure, accelerate analytics delivery, and deepen business stakeholder trust in data products.

Company Analysis:

Versique is a high-performance, award-winning recruiting firm known for its industry-specific expertise and deep talent knowledge, particularly in executive and professional placements. Although it operates within the traditionally people-centric recruitment industry, Versique’s strategic emphasis on leveraging technology and analytics to gain competitive advantage aligns well with the Senior Data Engineer role. The company culture appears to be dynamic, growth-oriented, and highly collaborative, valuing seasoned professionals who couple technical knowledge with the ability to connect with business needs—a perfect environment for a technically adept, communicative data leader. Operating as a locally owned firm with national recognition for rapid growth and employee satisfaction, Versique likely fosters an innovative yet stable setting where data-driven insights increasingly shape business strategies. The role’s place within the Data and Analytics team suggests partnership across business units rather than isolated technical work, presenting opportunities for visibility with leadership and influence on key operational decisions. Strategically, this hire appears integral to scaling Versique’s internal data capabilities to support expansion, optimize supply chain-related processes, and elevate reporting sophistication, thereby driving broader organizational efficiency and competitive positioning.

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

• Behavioral: Tell me about a time when you had to lead a cross-functional team to deliver a complex data solution. How did you ensure all stakeholders' needs were met?
• Behavioral: Describe a situation where you identified and resolved a performance bottleneck in a data pipeline. What steps did you take?
• Behavioral: Give an example of a challenging communication scenario you encountered while working with business stakeholders. How did you handle it?
• Behavioral: Share an experience where you had to balance urgent reporting demands with maintaining data quality and system performance.
• Technical: How would you design and optimize a dimensional data model to support complex supply chain reporting needs?
• Technical: Walk me through your approach to building an ETL pipeline using Google BigQuery and Python for processing large-scale supply chain data.
• Technical: What strategies do you use to tune SQL queries and ETL workflows for better performance in data warehouse environments?
• Technical: How familiar are you with tools like Incorta or Informatica, and how have you leveraged them in past data engineering projects?
• Situational: Imagine a key supply chain dashboard is returning inconsistent data after a recent update. How would you investigate and resolve the issue?
• Situational: You're tasked with integrating data from multiple ERP and supply chain planning systems with differing data standards. How would you approach this challenge?
• Situational: If business priorities suddenly shift, requiring new data models and reports with a tight deadline, how do you reprioritize and deliver effectively?
• Company Fit: What attracted you to Versique and how do you see your background contributing to our growth and culture?
• Company Fit: Versique emphasizes versatility and uniqueness. Can you give an example of how you embody these qualities in your work?
• Company Fit: How do you align your data engineering practices with broader business goals, particularly in a recruiting or service-driven company like Versique?
• Questions to Ask Interviewer: How does the Data and Analytics team currently collaborate with supply chain and other business units to prioritize projects?
• Questions to Ask Interviewer: What are the biggest data challenges Versique has faced recently in scaling supply chain analytics, and how can this role address them?
• Questions to Ask Interviewer: How does Versique support professional development for its technical staff, especially in emerging data engineering technologies?