Senior Data Engineer (AWS, Databricks, Python)

Benefits

Additional Information

Who Are We? Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Job Category Data Analytics, Data Science, Technology Compensation Overview The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. Salary Range $139,400.00 - $230,000.00 Target Openings 1 What Is the Opportunity? Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Senior Data Engineer you will accelerate growth and transformation of our analytics landscape. You will bring a strong desire to guide team members' growth and develop data solutions that translate complex data into user-friendly terminology. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights. What Will You Do? Call Center Platform Modernization: Lead data engineering efforts supporting the migration to a new SaaS-based call center platform, building and maintaining pipelines that integrate the modernized upstream data source into the enterprise analytics ecosystem. AI-Powered Transcript Analytics: Design and deploy data pipelines that process call transcript data at scale, leveraging Generative AI tools to perform sentiment analysis, topic modeling, entity extraction, and summarization to surface actionable insights across the Customer and Digital Analytics group. Digital Analytics Data Integration: Build and maintain data pipelines that ingest and consolidate data from a diverse portfolio of customer and agent-facing digital applications, including public mobile and web platforms supporting policy rating, issuance, and maintenance. User Experience Optimization: Enable analytics capabilities that help teams understand and improve the digital experience across Travelers' front-end applications by engineering reliable, scalable data solutions that capture user interaction and behavioral data.Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions. Design complex data solutions, including incorporating new data sources and ensuring designs are consistent across projects and aligned to data strategies. Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes. Incorporate core data management competencies including data governance, data security and data quality. Act as a data and technology subject matter expert within lines of business to support delivery and educate end users on data products/analytic environment. Perform data and system analysis, assessment and resolution for defects and incidents of high complexity and correct as appropriate. Collaborate across team to support delivery and educate end users on complex data products/analytic environment. Perform other duties as assigned. What Will Our Ideal Candidate Have? Bachelor's Degree in STEM related field or equivalent. Ten years of related experience. Advanced knowledge of tools, techniques, and manipulation including cloud platforms, programming languages, and modern software engineering practices. Strong delivery skills including the ability to determine the software design strategy and methodology to be used for efforts, use automated tests, analysis, and informed feedback loops to ensure the quality and production readiness of work before release, monitor the health of work efforts and that of adjacent systems. Demonstrated track record of domain expertise including the ability to develop business partnerships and influence priorities by identifying solutions that are aligned with current business objective and closely follow industry trends relevant to domain, understanding how to apply them, and sharing knowledge with coworkers. Strong problem solver who utilizes data and proofs of concepts to find creative solutions to difficult problems involving a significant number of factors with broad implications, reflects on solutions, measures impact, and uses that information to ideate and optimize. Excellent communication skills with the abi