Jobs / United States / Travelers Indemnity Company
Data Engineer II, GenAI
Travelers Indemnity Company · 🇺🇸 3 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 45 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Travelers Indemnity Company paid sponsored hires in similar roles1 certified filing for “Data Engineer II” (Software Developers) in CO: $142k–$142k, median $142k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Travelers Indemnity Company
The US Department of Labor certified 45 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Travelers Indemnity Company →
About the role
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 170 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 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 $126,500.00 - $208,700.00 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 stories found in data by leveraging a variety of data programming techniques. 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 recommending data cleansing/quality solutions. • Design complex data solutions • Perform analysis of complex sources to determine value and use 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 complex data products/analytic environment. • Perform data and system analysis, assessment and resolution for complex defects and incidents 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. • Eight years of related experience. • Expertise designing and building scalable, self-healing, cloud-native distributed compute data pipelines using AWS native services and/or Databricks as the primary compute and orchestration platform, loading into enterprise data platforms such as Snowflake. • Hands-on experience building analytics pipelines using transformation frameworks such as dbt within framework-based, cloud-native pipeline architectures. • Expertise designing and deploying production-grade, multi-agent AI applications using agent orchestration frameworks and runtimes such as AWS AgentCore or Databricks AgentBricks. • Experience integrating structured and unstructured data sources through tool-calling patterns, including the Model Context Protocol (MCP), to surface actionable insights at scale. • Strong foundational knowledge of large language model APIs, retrieval-augmented generation (RAG) patterns, vector databases, and embedding strategies, with the ability to apply these within multi-agent architectures to enable context-aware, data-grounded AI applications. • Highly proficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and a full understa