2 months ago
Hartford, CT, USA +2 moreMid Level
Base Salary
$127k - $209k/yr
Responsibilities
- Build and operationalize complex, scalable data solutions and cloud-native distributed data pipelines.
- Design data solutions and analyze complex data sources to determine their value and use in analytical processes.
- Apply data transformations, cleansing, governance, security, and quality practices.
- Design and deploy production-grade multi-agent AI applications using agent orchestration frameworks and runtimes.
- Integrate structured and unstructured data sources through tool-calling patterns, including the Model Context Protocol.
- Perform data and system analysis, resolve complex defects and incidents, and correct issues as appropriate.
- Test data movement, transformation code, and data components.
- Collaborate across teams, deliver complete solutions in small batches, educate end users, and help team members learn and grow.
Requirements
- Bachelor’s degree in computer science, a related STEM field, or equivalent education and/or work experience.
- At least four additional years of data engineering experience.
- Expertise designing and building scalable, self-healing, cloud-native distributed compute data pipelines using AWS native services and/or Databricks, loading data into platforms such as Snowflake.
- Hands-on experience building analytics pipelines with transformation frameworks such as dbt.
- Expertise designing and deploying production-grade multi-agent AI applications using AWS AgentCore or Databricks AgentBricks.
- Experience integrating structured and unstructured data through tool-calling patterns, including MCP.
- Strong knowledge of LLM APIs, RAG patterns, vector databases, and embedding strategies.
- Strong proficiency with cloud platforms, programming languages, modern software engineering practices, data analysis, problem solving, communication, and team collaboration.
- Ability to lead team members, identify opportunities, track team efforts, and make important delivery tradeoffs.
- Preferred qualifications include eight years of related experience and demonstrated domain expertise across immediate and adjacent systems.
Benefits
- Health insurance for eligible employees and family members from the first day of employment.
- Dollar-for-dollar 401(k) matching on the first 5% of eligible pay, subject to an annual maximum, plus a pension plan funded by Travelers.
- Paying it Forward Savings Program contributions for eligible employees with student loan debt.
- At least 20 days of paid time off annually plus nine paid company holidays.
- Wellness resources, discounts, caregiving support, and free professional counseling and health coaching.
- Matching Gift and Volunteer Rewards programs.
- The posting lists a nationwide annual base salary range and one target opening; Travelers may fill the role at a level above or below the posted level.
Tech Stack
Categories
AI ApplicationsData Engineering
About Travelers
Travelers is a public property and casualty insurer that provides auto, home, and commercial coverage, plus risk management and claims services, to individuals and businesses. It distributes policies through independent agents and brokers across the United States, Canada, the United Kingdom, and Ireland. Founded in 1853 and headquartered in New York City, Travelers trades on the NYSE (TRV) and is the only property-casualty company in the Dow Jones Industrial Average.