Okay, I've searched for Remote Data Ingestion Engineer roles in Norfolk, VA requiring at least 5 years of experience with Microsoft SQL Server, Azure Data Factory, and SSIS. Additionally, I’ve focused on positions that are around $57 per hour. I have found 32 positions that match your criteria.

Sure. Here's the analysis:

Job Analysis:

The Remote Data Ingestion Engineer plays a crucial role at Lensa by designing and developing data solutions vital for business operations and analytics. This position demands a comprehensive understanding of the data development lifecycle, ensuring that the resultant solutions are delivered on time and compliant with quality standards. The key responsibilities encompass managing different phases of the development process, from initial scoping to implementation, suggesting a hands-on, proactive approach is necessary. Candidates will likely face challenges around integrating complex data streams and ensuring data quality, particularly in a dynamic Agile environment. Success in this role is characterized by a candidate's ability to independently navigate technical challenges, collaborate effectively with cross-functional teams, and contribute to data engineering best practices to support decision-making at the leadership level. Furthermore, the role implies that an adeptness in troubleshooting and optimizing data workflows is crucial for operational efficiency, reflecting the company's commitment to successful talent acquisition and job matching technology.

Company Analysis:

Lensa operates in the technology-driven job search and recruitment sector, leveraging machine learning to improve the candidate and employer experience. As a fast-growing startup, it reflects an innovative and agile company culture that values technological advancement and inclusivity. The emphasis on transforming job search dynamics indicates that employees in this environment are expected to adapt quickly and innovate continuously. The role of the Remote Data Ingestion Engineer is not just a technical position; it is a strategic one that actively supports Lensa's goal of refining how talent is acquired. The broader organizational context suggests collaboration across teams and a visibility to leadership, given the direct impact this role has on data-driven insights that influence company decisions. This alignment underscores the importance of being forward-thinking and responsive to changing business needs to drive the company's mission forward, appealing to candidates seeking to work at the intersection of technology and human capital management.

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

• Tell me about a time when you had to design a data solution under tight deadlines. What was your approach?
• Describe a situation where you faced a significant challenge with data accuracy in a previous role. How did you resolve it?
• Can you provide an example of how you effectively communicated complex technical information to a non-technical stakeholder?
• What strategies do you use when encountering ambiguity within a project scope?
• How would you approach the integration of new data sources into existing workflows while using Azure Data Factory?
• What are your best practices for developing ETL processes using SSIS? Can you give me a specific example?
• How do you prioritize tasks during the development lifecycle when multiple stakeholders have competing needs?
• Imagine you are tasked with troubleshooting an ETL process that has suddenly failed. What steps would you take to diagnose and fix the issue?
• In what ways do you think your past experiences in data ingestion can help Lensa further its mission?
• Why are you interested in the position at Lensa specifically, and how do you see yourself contributing to our goals?
• How do you keep yourself updated with the latest trends and technologies in data engineering?
• What do you think is the most critical factor in creating an inclusive work environment, and how would you contribute to it?