Senior Data Engineer - AI & Analytics Platform

The Travelers Indemnity Company; Hartford, Northern (CT, KY); Hybrid; USD 94,000 - 156,000; Full time

Benefits offered by this job

Health Insurance

401(k) matching

Paid Time Off

Wellness Program

Volunteer Encouragement

Job summary

The Travelers Indemnity Company is seeking a Senior Data Engineer in Hartford, CT to build and scale data pipelines that support AI/ML and BI initiatives. You will design, deploy and optimize data solutions across enterprise systems and collaborate with cross-functional teams to ensure data quality and governance.

Ideal candidates bring 5+ years in data engineering, proficiency in Python, SQL, AWS and Databricks, and Terraform expertise to manage infrastructure.

Qualifications

• Bachelor’s degree in STEM related field or equivalent.
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Responsibilities

• Build and operationalize data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions.
• Participate in the design of 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.
• Partner and collaborate with team and business users 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.

Skills

Python

SQL

AWS

Databricks

Terraform

OpenAI

Leadership

Communication

Data engineering

Education

Bachelor’s degree in STEM related field

Tools

Cloud platforms

Programming languages

Job description

The Travelers Indemnity Company is seeking a Senior Data Engineer in Hartford, CT to build and scale data pipelines that support AI/ML and BI initiatives. You will design, deploy and optimize data solutions across enterprise systems and collaborate with cross-functional teams to ensure data quality and governance.

Ideal candidates bring 5+ years in data engineering, proficiency in Python, SQL, AWS and Databricks, and Terraform expertise to manage infrastructure.