Data Analytics, 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

$106,300.00 - $175,400.00

1

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 the stories found in data. 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?

• Build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions.
• Design data solutions.
• Analyze sources to determine value 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 data products/analytic environment.
• Perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate.
• Test data movement, transformation code, and data components.
• Perform other duties as assigned.

What Will Our Ideal Candidate Have?

• Bachelor’s Degree in STEM related field or equivalent

• Six years of related experience

• Part of the BI data analytics standing up a new eco system on prem to AWS environment Data bricks , python pyspark and java skills some experience  with relational databases on prem and some snowflake migrating asway form  - developing data ingestion pipelines on prem assets in modern eco system dev pipeline into industry data down stream consumption

• Design, build, test, and deploy efficient, reliable, and reusable data pipeline components to ingest large volumes of data from multiple on-prem source systems into a modernized AWS Cloud-based Data and Analytics ecosystem.

• Design, develop, test, and deploy scalable components that integrate and conform disparate data ingested into AWS S3 to a single schema for business analytics and data science consumers.

• Create and maintain clear technical documentation – i.e. design flows, code specifications, test plans, etc.

• Leverage Generative AI capabilities to innovate, enhance, and expedite engineering outcomes – i.e. code and test case generation, code coverage validation, data profiling, etc.

• Proficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and an understanding of software engineering practices.

• The ability to deliver work at a steady, predictable pace to achieve commitments, decompose work assignments into small batch releases, and contribute to tradeoff and negotiation discussions.

• Demonstrated track record of domain expertise including the ability to understand technical concepts and possess in-depth knowledge of immediate systems worked on.

• Proven problem solving skills including debugging skills, allowing you to determine source of issues in unfamiliar code or systems and the ability to recognize and solve repetitive problems.

• Strong verbal and written communication skills with the ability to interact with team members and business partners.

• Leadership - Intermediate leadership skills with a proven track record of self-motivation in identifying personal growth opportunities.

What is a Must Have?

• Bachelor’s degree or equivalent training with data tools, techniques, and manipulation.
• Four years of data engineering or equivalent experience.