Data Engineer I

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 160 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, 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

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 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 for the team members supporting Enterprise Underwriting, they will be helping to reinvent global underwriting analytics at Travelers. They will be curating the data to support the proverbial cockpit controls in an airplane that senior leaders will use to make underwriting decisions at Travelers.

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
• 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.
• Experience with some of the following tools & platforms (or similar): AWS (s3, Lambda, Kinesis, API Gateway, IAM, Glue, SNS, SQS, EventBridge, EKS, VPC, Step Functions, ECS/EKS, DynamoDB, etc.), Databricks, Python, JavaScript, Kafka, dbt, Terraform, Snowflake, SQL, Jenkins, Github, Airflow, OpenSearch (Elasticsearch & Kibana), Talend, Alation, Neo4j, Hashicorp Vault / AWS Secrets Manager, Docker / OpenShift / Open Cloud Foundry, MongoDB, Docker, BlackDuck, SonarQube
• Knowledge and experience with the some of the following concepts:   Real-time & Batch Data Processing, Workload Orchestration, Cloud, Datalakes, Data Security, Networking, Serverless, Testing/Test Automation (Unit, Integration, Performance, etc.), WebServices, DevOps, Logging, Monitoring, and Alerting, Containerization, Encryption / Decryption, Data Masking, Cost & Performance Optimization.

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.