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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.