Senior Data Engineer, Underwriting Technical Lead

Travelers•Hartford, CT

15d

About The Position

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.

Requirements

Bachelor’s Degree in STEM related field or equivalent.
Ten years of related experience.
Demonstrated expertise designing, building, and maintaining scalable data pipelines on AWS , with hands-on experience across core services such as S3, Glue, Redshift, Lambda, and/or EMR.
Proficiency in Databricks , including development and optimization of data workflows and leveraging the Lakehouse architecture for large-scale data processing.
Solid understanding of AI/ML concepts , with the ability to collaborate with data science teams and support the deployment or operationalization of machine learning models within the data ecosystem.
Hands-on experience with dbt for data modeling, transformation, and documentation, applying strong software engineering best practices to analytics workflows.
Advanced proficiency in PySpark for distributed data processing, with the ability to write performant, production-grade code for large-scale batch and/or streaming workloads.
Candidates coming from an Azure environment (e.g., Azure Data Factory, Synapse Analytics, Azure Databricks) will be considered, provided they demonstrate a clear ability to operate effectively within an AWS-based stack.
Willingness to serve in a technical leadership capacity , including mentoring engineers, driving architectural decisions, and partnering with stakeholders across engineering and the business.
Bachelor’s degree in computer science, related STEM field, or its equivalent in education and/or work experience.
6 additional years of data engineering experience.

Responsibilities

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.