Okay, I've searched for Senior Data Engineer roles in Columbus, OH that offer hybrid work arrangements and a salary between $93,800 and$140,700. You have specified 3+ years of experience in data engineering and proficiency in Python. I found 45 positions that match your criteria.

Sure. Here's the analysis:

Job Analysis:

The Sr. Data Engineer at NiSource is fundamentally tasked with building and optimizing data pipelines and repositories to support actionable analytics and reporting across various business functions. This involves leading the engineering strategy for complex projects, ensuring that data infrastructures are not only reliable and scalable but also timely in their delivery, reflecting an acute understanding of the business needs. Candidates will need to collaborate closely with IT and analytics teams to design data products that meet precise requirements while also being able to communicate technical concepts effectively to non-technical stakeholders. Success in this role hinges on the ability to innovate data solutions and facilitate internal process improvements, ensuring that the organization can leverage its data assets fully. The ability to navigate the complexities of cloud platforms, data warehousing, and analytics tools will be critical, as will understanding the specific nuances of utility services and customer commitments that NiSource maintains.

Company Analysis:

NiSource operates in the highly regulated utility sector, providing natural gas and electric services to millions of customers across several states. This positioning not only establishes the company as a critical player in energy infrastructure but also necessitates a strong emphasis on safety, reliability, and community engagement. The hybrid work environment indicates a balance between autonomy and collaboration, reflecting a culture that is progressive yet rooted in traditional values of community service and safety. Moreover, NiSource's significant investment in its infrastructure suggests a growth-oriented strategy, making this role pivotal in achieving long-term objectives tied to efficiency and improved customer service. Organizationally, this position involves working within a cross-functional team, indicating a collaborative and engaging environment that allows for greater visibility with leadership and involvement in key strategic decisions. The expectations for this role will likely evolve in line with advancements in technology and changes in regulatory standards, demanding a forward-thinking approach from the candidate.

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

• Behavioral: Tell me about a time when you had to navigate a complex project with multiple stakeholders. How did you ensure everyone was aligned?
• Behavioral: Describe a situation when you identified a gap in data processes and how you addressed it.
• Behavioral: Can you share an experience where you had to explain a technical concept to a non-technical audience? How did you ensure understanding?
• Behavioral: When faced with competing deadlines, how do you prioritize tasks and communicate with your team?
• Technical: How would you approach designing a data product that must integrate data from both SQL and NoSQL databases?
• Technical: Describe your experience with building data pipelines in cloud environments, particularly with Azure, AWS, or GCP.
• Technical: What methods do you use to ensure the reliability and scalability of data solutions you design?
• Technical: How familiar are you with ETL processes and tools like Azure Data Factory in your past roles?
• Situational: Imagine you are tasked with leading a data engineering project that is behind schedule. What steps would you take to get it back on track?
• Situational: If faced with unclear requirements from a business stakeholder, how would you approach the situation?
• Company Fit: Why are you particularly interested in the Sr. Data Engineer role at NiSource?
• Company Fit: How do you see your values aligning with NiSource's commitment to safety and community involvement?
• Questions for the Candidate: Can you tell me about the opportunities for professional development within the company?
• Questions for the Candidate: How does the data engineering team interact with other departments here at NiSource?