Senior AI-Driven Data Platform Engineer

Beazley Security, LLC

United States

Hybrid

USD 140,000 - 200,000

Full time

8 days ago
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Benefits offered by this job

Competitive salary and bonus
Flexible working arrangements
3 months paid parental leave
100% employee health premiums covered
Up to 5% 401k match
Career advancement and training
Industry conferences and events

Job summary

Beazley Security, LLC in the United States seeks a Senior Data & AI Platform Engineer to consolidate data into a single reliable layer powering products and AI work. You will design a platform spanning Snowflake, relational databases, and other data sources for internal and customer-facing applications.

You will create pipelines from security products to destinations, optimize data for speed and trust, and build the foundation for AI with clean, well-structured data.

Qualifications

  • 6+ years of software engineering experience, owning production systems from design through day-to-day operation.
  • AI-first mindset in workflow with daily use of AI tools to design, build, test, and review code.

Responsibilities

  • Design and build a consolidated data platform across Snowflake, relational databases, and other data sources for internal and customer-facing apps.
  • Build reliable pipelines moving data from security products to required destinations.
  • Make data fast for customer-facing products and trustworthy for reporting and analytics.
  • Lay the foundation for AI with clean, well-organized data usable by AI agents and tools.
  • Set data standards and help engineers adopt them.

Skills

Database & ORM
dbt/ETL
AWS & Azure
Code reviews
Mentoring

Tools

Snowflake
Relational databases
Python

Job description

Beazley Security, LLC in the United States seeks a Senior Data & AI Platform Engineer to consolidate data into a single reliable layer powering products and AI work. You will design a platform spanning Snowflake, relational databases, and other data sources for internal and customer-facing applications.

You will create pipelines from security products to destinations, optimize data for speed and trust, and build the foundation for AI with clean, well-structured data.

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