Data Engineer II: Build AI-Driven Data Pipelines

Relha LLC

Atlanta (GA)

On-site

USD 127,000 - 209,000

Full time

8 hours ago
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Benefits offered by this job

Health Insurance
401(k) Match
Paid Time Off
Wellness Program

Job summary

Travelers Data Engineering team builds data pipelines and analytics tools used across the enterprise. As a Data Engineer, you will contribute to growing and transforming our analytics landscape, translating data findings into actionable insights using a range of data programming techniques.

You will design, build and deploy data solutions that support AI, ML and BI initiatives, working with cross-functional teams. Applicants must be authorized to work in the U.S.

Qualifications

  • Bachelor’s degree in STEM field or equivalent.
  • 8+ years of related experience.
  • Strong understanding of Gen AI concepts (Agentic Frameworks, RAG, LLM, chunking, hyper-parameters).
  • Proven experience as a Full Stack Designer/Architect with data engineering focus.
  • Proficiency in Python.

Responsibilities

  • Build and operate complex data solutions; perform data transformations and quality improvements.
  • Analyze complex data sources to determine value and use; design data inclusion for analytics.
  • Incorporate data governance, security and quality; collaborate across teams to educate end users.
  • Perform data and system analysis, diagnose defects, and resolve incidents.
  • Test data movement, transformations and data components.

Skills

Python
Gen AI concepts
Data engineering
Full Stack Design/Architect
Cloud platforms

Education

Bachelor’s degree in Computer Science / STEM

Job description

Travelers Data Engineering team builds data pipelines and analytics tools used across the enterprise. As a Data Engineer, you will contribute to growing and transforming our analytics landscape, translating data findings into actionable insights using a range of data programming techniques.

You will design, build and deploy data solutions that support AI, ML and BI initiatives, working with cross-functional teams. Applicants must be authorized to work in the U.S.

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