Sr. Data Engineer - CX Analytics

Experteer Overview As a Senior Data Engineer in the CX Analytics team, you will design, build, and maintain data solutions that power BI, reporting, and advanced analytics. You’ll own end-to-end data domains and pipelines, integrating diverse sources and enabling AI-enabled workflows and scalable automation. You’ll work hands-on, setting standards and mentoring peers while partnering with BI Analysts and Data Scientists to deliver actionable insights. This role combines technical delivery with shaping data architecture in a growing team, offering meaningful impact on customer experience. Compensation / Benefits * Develop, test, and maintain complex data pipelines to meet business needs * Integrate large data volumes from sources such as DB2, SQL Server, Web API, and Teradata * Validate, aggregate, and reconcile data to build a robust data framework * Collaborate with data scientists and business partners to tailor data structures for analytics * Define scalability, performance, and maintainability requirements for data solutions * Advance the enterprise data architecture and leverage cloud-based data frameworks and tools * Prepare results for interpretation and visualization and communicate value to stakeholders * Lead automation integration of solutions within existing processes * Provide mentorship and support to junior Data Engineers * Contribute to engineering processes and standards for varied use scenarios * Engage in ongoing learning of software engineering practices Tasks * Bachelor’s degree in quantitative field; Master’s or PhD preferred * 6 years of professional experience or equivalent * Deep expertise in at least two areas: Software Engineering (languages such as Java/Scala, Python; DevOps/CI-CD), Data Architecture and Infrastructure (on-prem and Cloud), Holistic Data Preparation, Data Extraction/Transform/Load with SQL mastery * Strong communication, leadership experience with senior management, and ability to manage multiple projects * Ability to coach and mentor peers and guide data science initiatives * Entrepreneurial, curious, and able to conduct independent R&D Key requirements * Health, Vision, Dental * Short & Long-Term Disability * Generous PTO including volunteer time * Up to 9.5% 401(k) employer contribution * Mental health support * Tuition reimbursement

maintainability requirements for data solutions * Advance the enterprise data architecture and leverage cloud-based data frameworks and tools * Prepare results for interpretation and visualization and communicate value to stakeholders * Lead automation integration of solutions within existing processes * Provide mentorship and support to junior Data Engineers * Contribute to engineering processes and standards for varied use scenarios * Engage in ongoing learning of software engineering practices Tasks * Bachelor’s degree in quantitative field; Master’s or PhD preferred * 6 years of professional experience or equivalent * Deep expertise in at least two areas: Software Engineering (languages such as Java/Scala, Python; DevOps/CI-CD), Data Architecture and Infrastructure (on-prem and Cloud), Holistic Data Preparation, Data Extraction/Transform/Load with SQL mastery * Strong communication, leadership experience with senior management, and ability to manage multiple projects * Ability to aaa

• and mentor peers and guide data science initiatives * Entrepreneurial, curious, and able to conduct independent R&D Key requirements * Health, Vision, Dental * Short & Long-Term Disability * Generous PTO including volunteer time * Up to 9.5% 401(k) employer contribution * Mental health support * Tuition reimbursement