Data Engineer II (AWS, Databricks, AI)

Travelers•Hartford, CT

17h

About The Position

Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Data Engineer, you will play a key role in growing and transforming our analytics landscape. In addition to your strong analytical mind, you will bring your inquisitive attitude and ability to translate stories found in data by leveraging a variety of data programming techniques. 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 a STEM related field or equivalent.
Eight years of related experience.
Strong hands-on experience with AWS, Databricks, and PySpark.
Experience with AI engineering and modern AI/ML platforms (for example, Bedrock).
Experience using Databricks as an ETL tool, including Databricks Unity Catalog for database and data governance work.
Bachelor’s degree in computer science, related STEM field, or its equivalent in education and/or work experience.
4 additional years of data engineering experience.

Nice To Haves

Experience working in the insurance industry and/or with other cloud and data platforms such as Snowflake and Azure.
Strong written and verbal communication skills, with the ability to collaborate effectively with team members and work directly with business stakeholders.
Demonstrated technical leadership and people management experience, including the ability to lead team members and help create a safe environment for others to learn and grow as engineers, and a proven track record of self-motivation in identifying opportunities and tracking team efforts.

Responsibilities

Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions.
Design complex data solutions
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.
Collaborate within and across teams to support delivery and educate end users on complex data products/analytic environment.
Perform data and system analysis, assessment and resolution for complex defects and incidents and correct as appropriate.
Test data movement, transformation code, and data components.
Perform other duties as assigned.