Okay, I've searched for Senior Data Integration Engineer roles in Spokane, WA requiring a Bachelor's degree in Computer Science or related field, with ETL and data warehouse implementation skills, and full-time positions. I have found 47 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Senior Data Integration Engineer role at ENGIE Insight Services centers on the critical task of enabling seamless data flow and integration across diverse systems to support business intelligence and analytics capabilities. Fundamentally, this person is hired to architect, develop, and maintain robust ETL pipelines that transform complex, large-scale, and often unstructured data into usable formats within data warehouses or marts. The role demands translating nuanced business requirements into technical specifications, indicating a close partnership with business stakeholders and cross-functional teams. Key responsibilities imply active engagement in designing scalable and performance-optimized ETL processes, addressing data quality and integrity challenges, and overseeing deployment and tuning activities. The candidate must also provide technical leadership, guiding ETL best practices and mentoring junior team members, which suggests the role acts as a technical linchpin within the data engineering team. Success here means ensuring high availability, efficiency, and adaptability of data integration systems that can grow with ENGIE’s evolving analytics needs, while clarifying ambiguous requirements and solving complex data transformation issues.

Company Analysis:

ENGIE Insight Services operates within the broader GBU Energy Solutions division of ENGIE, a global player in energy and sustainability. The company focuses on delivering data-driven insights and advisory services that require rigorous, trustworthy data integration and analytics capabilities. The SRM business unit's profile as an independent advisory firm specializing in payments, sourcing, and operating strategies for financial institutions and global services players positions ENGIE Insight at the forefront of complex, regulated, and high-stakes data environments. This means the company values precision, innovation, and integrity in its data operations. The culture likely balances mission-oriented work in energy and sustainability with a professional, client-focused atmosphere that prizes technical excellence and collaboration across specialized teams. This role’s location in Spokane and partial remote flexibility imply a degree of work-life balance while still requiring team alignment and leadership. The Senior Data Integration Engineer is a strategic hire, essential to underpinning the company’s expansion of data services and ensuring delivery of scalable, reliable data infrastructure for internal stakeholders and clients. Visibility to leadership and cross-functional teams is probable, given the role’s technical leadership component.

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

• Behavioral: Tell me about a time when you had to translate ambiguous business requirements into a technical data integration solution. How did you approach ensuring alignment between stakeholders and the technical team?
• Behavioral: Describe how you have handled mentoring junior engineers on an ETL project. What strategies do you use to balance leadership with hands-on work?
• Behavioral: Can you share an experience where you identified and resolved a performance bottleneck in an existing data pipeline or ETL process?
• Behavioral: Tell me about a situation where you had to coordinate with multiple cross-functional teams to deliver a data solution under tight timelines. How did you manage communication and expectations?
• Technical: Walk me through your typical approach to designing and implementing an ETL pipeline for integrating large volumes of unstructured and hierarchical data.
• Technical: What best practices do you follow when tuning ETL processes to improve scalability and recoverability?
• Technical: How have you utilized Snowflake or a similar cloud data warehouse in past roles? What unique considerations come into play when integrating ETL workflows with these platforms?
• Technical: Explain how you would handle data validation and error handling within an automated ETL framework.
• Situational: Imagine a critical ETL job fails just before a major reporting deadline with no immediate fix available. What steps do you take to minimize business impact?
• Situational: Suppose a new data source arrives in XML format with significant inconsistencies. How would you approach integrating this data into the existing warehouse pipelines?
• Situational: You receive conflicting requirements from two business units about how certain transactional data should be modeled. How do you resolve this?
• Company Fit: What attracts you to ENGIE Insight Services and how do you see this role contributing to our mission of delivering data-driven energy and sustainability insights?
• Company Fit: Given SRM’s focus on advisory and technology implementation, how do you envision your contribution as a Senior Data Integration Engineer adding value to our clients and internal teams?
• Company Fit: ENGIE values diversity, equity, and inclusion deeply. How have you incorporated these principles into your past team leadership and project work?
• Questions for Interviewer: Can you describe the biggest data integration challenges ENGIE Insight is currently facing and how this role is expected to address them?
• Questions for Interviewer: How does the data engineering team collaborate with business analysts and other stakeholders during requirement gathering and solution design?
• Questions for Interviewer: What are the opportunities for professional development and growth within ENGIE Insight for someone in this senior engineering position?