Travelers
Travelers
Travelers ir apdrošināšanas uzņēmums, kas privātpersonām un uzņēmumiem nodrošina apdrošināšanas aizsardzību, ko atbalsta specializētas zināšanas, riska kontrole, apdrošināšanas risku izvērtēšana, tehnoloģijas un analītika, kā arī pārdošanas komandas. Uzņēmuma darbības centrā ir palīdzēt klientiem sagatavoties nenoteiktībai, vienlaikus izstrādājot jaunas pieejas apdrošināšanai un nākotnes risku plānošanai. Travelers savā darbībā Amerikas Savienotajās Valstīs, Kanādā un Eiropā uzsver arī iesaisti kopienā, daudzveidību, ilgtspēju, nepārtrauktu mācīšanos un profesionālo izaugsmi. Karjeras iespējas ietver amatus gan pieredzējušiem profesionāļiem, gan talantiem karjeras sākumposmā.

Data Engineer I, Databricks and MLOps

Build Databricks data pipelines and MLOps solutions at Travelers, a property and casualty insurer. Support AI, machine learning, and enterprise analytics through data engineering.

Apraksts

  • Develop and operationalize complex data solutions
  • Troubleshoot data issues, apply transformations, and recommend ways to improve data quality
  • Design data solutions
  • Assess data sources and recommend which data can support analytical processes
  • Apply data governance, security, and quality practices
  • Work with colleagues across teams to deliver solutions
  • Help end users understand data products and the analytics environment
  • Analyze data and systems, and resolve moderately complex defects and incidents
  • Test data movement, transformation code, and data components
  • Carry out other assigned duties

Prasības

  • Bachelor’s degree in computer science or a related STEM field, or equivalent education and/or work experience
  • Six years of related experience
  • Two additional years of software or data engineering experience
  • Experience with Databricks, including MLflow for experiment tracking, model registry, and model serving
  • Familiarity with infrastructure-as-code and CI/CD tools such as Terraform, GitHub Actions, and Databricks Asset Bundles
  • Exposure to MLOps practices, including model deployment pipelines, monitoring, and lifecycle management
  • Interest or experience in Generative AI tools, LLM orchestration frameworks, or related emerging technologies
  • Proficiency with cloud platforms, programming languages, and software engineering practices
  • Ability to deliver work at a steady, predictable pace, break assignments into small releases, and contribute to tradeoff and negotiation discussions
  • Demonstrated domain expertise and in-depth knowledge of the systems in the role’s immediate scope
  • Strong problem-solving and debugging skills
  • Strong verbal and written communication skills
  • Intermediate leadership skills and a track record of self-motivation in identifying personal growth opportunities
  • Authorization to work for any employer in the United States
  • Travelers does not sponsor or support H-1B petitions, TN status, or Forms I-983/STEM OPT for this role

Priekšrocības

  • Health insurance for employees and eligible family members starting on the first day of employment
  • Dollar-for-dollar 401(k) match on up to the first 5% of eligible pay, subject to an annual maximum
  • Paying it Forward Savings Program for employees with student loan debt
  • Pension plan fully funded by Travelers
  • At least 20 days of paid time off each year
  • Nine paid company holidays
  • Wellness program offering tools, discounts, resources, caregiving support, free professional counseling, and health coaching
  • Matching Gift and Volunteer Rewards program

Saistītās vakances

Cardinal Health

Data Engineering Manager at Cardinal Health

Cardinal Health

Lead enterprise data transformation teams at Cardinal Health, overseeing Google Cloud platforms and analytics and AI/ML operations. Guide delivery, platform improvements, and talent development.

Atvērt
Travelers

Data Engineer I, AWS and Python

Travelers

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.

Atvērt
Securian Financial

Data Engineer

Securian Financial

Build data pipelines for Securian Financial’s AI, analytics, and enterprise needs while advancing its data architecture and governance. This hybrid role is based in Saint Paul, Minnesota.

Atvērt
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.

Atvērt
Rackspace Technology

Datu inženieris V (hibrīddarbs, Amerikas Savienotās Valstis)

Rackspace Technology

Vadi uzņēmuma datu noliktavas datu cauruļvadu un AI/RAG infrastruktūras datu inženierijas stratēģiju uzņēmumā Rackspace Technology. Virzi inženierus, piegādes standartus, ieinteresēto pušu ceļvežus, darbības rādītājus un cauruļvadu uzticamību.

Atvērt