Okay, I've searched for Alteryx Data Engineer roles in Bellevue, WA, offering vision insurance, requiring 4+ years of experience, with skills in SQL and Python, and available as full-time positions. I have found 27 openings matching your criteria.

Sure. Here's the analysis:

Job Analysis:

The Alteryx Data Engineer role at Capgemini, servicing the client Lensa, is centered on designing, developing, and supporting scalable data automation workflows primarily using Alteryx, Databricks with Pyspark, and Python. The fundamental purpose is to ensure the reliability, efficiency, and continual evolution of Alteryx-driven data pipelines that underpin critical business processes and analytics. This role requires deep technical expertise in Alteryx platform development including SDK use, alongside SQL and Python coding skills, enabling the engineer to build robust, maintainable workflows and solve complex data integration challenges. A key responsibility is to offer L3 technical support and coordinate extensive testing across cross-functional teams during major platform upgrades, highlighting the need for meticulous quality assurance and communication skills across diverse stakeholders. The candidate must thrive in a hybrid environment that connects IT operations, development, and business users to deliver uninterrupted application services, monitor performance, and proactively resolve issues. Success in this position will be measured by the smooth deployment and ongoing optimization of data workflows, timely incident resolution, end-user satisfaction, and contribution to continuous process improvements via insightful reporting and workflow recommendations. The role demands significant autonomy, strong problem-solving ability, and a customer-oriented mindset, as well as comfort navigating ambiguity during quarterly platform feature rollouts and complex troubleshooting scenarios. Familiarity with ITIL frameworks and enterprise monitoring tools is a strategic advantage, positioning the candidate to align with established operational disciplines and best practices, while experience with Power BI reporting shows a need for collaboration beyond pure engineering tasks toward enabling data-driven decision making within the team.

Company Analysis:

Lensa operates at the intersection of career technology and data-driven talent acquisition, leveraging machine learning to transform job search into a highly personalized, efficient experience. As a market innovator in the online recruiting sector, Lensa's rapid growth and technological sophistication demand partners and roles that can handle complex data environments and scale quickly while maintaining reliability and precision. Given its roots since 2016 and significant user base exceeding 10 million job seekers, the company values innovation, agility, and a mission to simplify the job market through intelligent matching algorithms and user-centric design. For an Alteryx Data Engineer, this translates to operating within a fast-moving, high-impact environment that requires partnering closely with both technical and business stakeholders—a setting where process optimization and cross-functional communication are as critical as technical prowess. Capgemini’s role as a managed service provider suggests a structured landscape blending stability with opportunities to inject innovation, and the hybrid work location in Bellevue indicates a balance between collaboration and individual focus. The company culture likely stresses inclusivity, customer focus, and continuous learning, intending to empower employees with excellent benefits and a strong support framework. The successful candidate will find themselves strategically positioned to influence the backbone data workflows driving Lensa’s matching technology and have visibility into leadership through ongoing reporting and collaboration with project managers and customers, aligning their work to Lensa’s broader goals of enhancing recruitment efficiency and candidate experience.

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

• Behavioral: Tell me about a time when you had to troubleshoot a complex data workflow issue that impacted multiple teams. How did you approach the problem and coordinate resolution?
• Behavioral: Describe an experience where you needed to explain a technical concept to a non-technical user. How did you ensure understanding and maintain their confidence in your solution?
• Behavioral: Share an example of when you participated in a software upgrade or deployment. What challenges did you face and how did you ensure a smooth transition for users?
• Behavioral: Can you give an example of a situation where you had to balance competing priorities between supporting existing systems and developing new workflows? How did you manage it?
• Technical: How would you approach optimizing an existing Alteryx workflow that is running slower than expected and impacting user experience?
• Technical: Explain your experience using the Alteryx SDK for custom tool development. What was a complex use case you handled?
• Technical: Describe the key considerations and steps you follow when building data pipelines on Databricks using Pyspark/Python.
• Technical: How do you manage troubleshooting database connectivity issues for users, especially when multiple systems and platforms are involved?
• Situational: Imagine you discover that a quarterly upgrade to the Alteryx platform has introduced a compatibility issue with critical workflows. What immediate actions would you take to mitigate risks and communicate with stakeholders?
• Situational: Suppose a Power BI report intended to monitor Alteryx platform usage shows inconsistent data. How would you identify and resolve the discrepancies?
• Situational: If a business user requests a workflow feature that is technically challenging or outside current capabilities, how would you handle the situation?
• Company Fit: Why are you interested in working as an Alteryx Data Engineer at Capgemini supporting a client like Lensa?
• Company Fit: How do your personal values or experiences align with Lensa’s mission to put people first in job searching and leverage machine learning?
• Company Fit: Capgemini emphasizes collaboration and service management practices such as ITIL. How have you incorporated similar frameworks or culture into your past roles?
• Questions for Interviewer: Can you describe the typical team structure and collaboration model I would be part of in this role?
• Questions for Interviewer: What are the immediate priorities or challenges the new hire should focus on in the first 6 months?
• Questions for Interviewer: How does Capgemini and Lensa evaluate success for this role, beyond technical execution?