Travelers
Travelers
„Travelers“ yra draudimo bendrovė, teikianti draudimo apsaugą privatiems asmenims ir įmonėms, kurią užtikrina specializuotos žinios, rizikos kontrolė, draudimo rizikos vertinimas, technologijos ir analitika bei pardavimų komandos. Pagrindinis jos veiklos tikslas – padėti klientams pasirengti neapibrėžtumui ir kartu kurti naujus draudimo bei būsimų rizikų planavimo būdus. „Travelers“ taip pat pabrėžia dalyvavimą bendruomenės veikloje, įvairovę, tvarumą, nuolatinį mokymąsi ir profesinį augimą vykdydama veiklą Jungtinėse Valstijose, Kanadoje ir Europoje. Karjeros galimybės apima pareigas tiek patyrusiems specialistams, tiek karjerą pradedantiems talentams.

Data Engineer I, AWS and Python

Build AWS and Python data pipelines at Travelers, a property and casualty insurer. Deploy generative AI solutions for enterprise analytics, artificial intelligence, and machine learning.

Aprašymas

  • Develop and put complex data solutions into operation
  • Resolve data issues, apply transformations, and recommend cleansing and quality improvements
  • Design data solutions
  • Assess data sources, identify their value, and recommend data for analytical use
  • Apply data governance, security, and quality practices
  • Work with teams across the organization to deliver solutions
  • Help end users understand data products and the analytics environment
  • Analyze data and systems, assess issues, and resolve moderately complex defects and incidents
  • Test data movement, transformation code, and data components
  • Support pipelines that add context to data and make it accessible across the enterprise
  • Design, build, and deploy data solutions for AI, machine learning, and business intelligence and insights
  • Carry out other duties as assigned

Reikalavimai

  • Bachelor’s degree in computer science or a related STEM field, or equivalent education and/or work experience
  • Six years of related experience
  • At least three years in a data engineer role, with additional IT or engineering experience bringing the total to seven or more years
  • At least two years of Python experience in machine learning or AI
  • Experience with a cloud platform, preferably AWS
  • Experience with AWS core services, including S3, IAM, Lambda, Secrets Manager, and EC2
  • Experience deploying production applications using large language models
  • Familiarity with agents, prompt engineering, retrieval-augmented generation (RAG), and fine-tuning
  • Proficiency with cloud platforms, programming languages, data manipulation techniques, and software engineering practices
  • Ability to maintain a steady, predictable pace and break work into small-batch releases
  • Ability to contribute to tradeoff and negotiation discussions
  • Demonstrated domain expertise and in-depth knowledge of immediate systems
  • Problem-solving and debugging skills
  • Strong verbal and written communication skills
  • Intermediate leadership skills and a record of self-motivation
  • Two additional years of software or data engineering experience
  • Must be authorized to work for any U.S. employer; Travelers does not sponsor or support H-1B petitions, TN status, or Forms I-983/STEM OPT for this role

Privalumai

  • Performance-based cash incentive awards
  • Health insurance for employees and eligible family members starting on the first day of employment
  • Dollar-for-dollar 401(k) matching on up to the first 5% of eligible pay
  • Paying it Forward Savings Program, with annual 401(k) contributions for student loan payments
  • Pension plan fully funded by Travelers
  • At least 20 days of paid time off per year
  • Nine paid company holidays
  • Wellness program offering tools, discounts, resources, and caregiving support
  • Free professional counseling, health coaching, and mental health resources
  • Matching Gift and Volunteer Rewards program

Susiję darbai

The Hartford

Google Cloud Data Engineer — The Hartford, Hybrid

The Hartford

Build Google Cloud data pipelines and metadata governance automation at The Hartford. Develop secure, AI-enabled enterprise data solutions across four U.S. offices.

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