Data Engineer I

Travelers

Hartford (CT)

On-site

USD 109,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Health Insurance

401(k) matching

Pension Plan

Paid Time Off

Wellness Program

Volunteer Encouragement (Matching Gift

and Volunteer Rewards)

Job summary

Travelers is seeking a Data Engineer I to design and deploy data pipelines and solutions supporting AI, ML, and enterprise analytics. You will coordinate with multiple teams to ensure data accessibility and actionable insights from Hartford, CT.

The role emphasizes building scalable data architectures, governing data quality, and collaborating to educate users on data products within a robust analytics environment.

Qualifications

Bachelor’s degree in STEM or equivalent.
Minimum six years of related experience.
Experience leveraging AI platforms such as OpenAI and AWS Bedrock.
Strong technical skills in Python, SQL, AWS, Databricks, and related technologies.
Terraform experience to streamline infrastructure management and deployment.

Responsibilities

Develop and operationalize intricate data solutions, identify issues, apply transformations, and recommend cleansing and quality strategies.
Design scalable data architectures and solutions.
Evaluate data sources to assess value and advise which data should feed analytical workflows.
Incorporate core data management practices including governance, security, and quality controls.
Collaborate with teams to support delivery and educate users on data products and the analytics environment.
Analyze data and systems to detect and resolve defects or incidents of moderate complexity, and implement corrective actions.
Test data movement, transformation logic, and data components to validate reliability.
Perform other duties as assigned.

Skills

Communication

Leadership

Problem solving

Team collaboration

Education

Bachelor's degree in STEM

Tools

OpenAI

AWS Bedrock

Python

SQL

AWS

Databricks

Terraform

Job description

In Travelers' data team, the Data Engineer I designs and deploys data pipelines and solutions to support AI, ML, and enterprise analytics, coordinating with multiple teams to ensure data accessibility and actionable insights.

Responsibilities

Develop and operationalize intricate data solutions, identify issues, apply transformations, and recommend cleansing and quality strategies.
Design scalable data architectures and solutions.
Evaluate data sources to assess value and advise which data should feed analytical workflows.
Incorporate core data management practices including governance, security, and quality controls.
Collaborate with teams to support delivery and educate users on data products and the analytics environment.
Analyze data and systems to detect and resolve defects or incidents of moderate complexity, and implement corrective actions.
Test data movement, transformation logic, and data components to validate reliability.
Perform other duties as assigned.

Requirements

Bachelor’s degree in a STEM field or equivalent.
Minimum six years of related experience.
Experience leveraging AI platforms such as OpenAI and AWS Bedrock to drive innovative projects.
Strong technical skills in Python, SQL, AWS, Databricks, and related technologies to develop robust AI applications.
Terraform experience to streamline infrastructure management and deployment.
API design capabilities to enable seamless integrations and features.
Proficiency with cloud platforms, programming languages, and software engineering practices.
Ability to work at a steady, predictable pace to meet commitments, decompose work into small releases, and contribute to tradeoffs and negotiations.
Demonstrated domain expertise and the ability to understand technical concepts within current systems.
Strong problem-solving and debugging abilities to identify root causes in unfamiliar code or systems and address repetitive issues.
Excellent verbal and written communication to engage team members and business partners.
Intermediate leadership skills with a track record of self-motivation and professional growth.
Two additional years of software or data engineering experience.