Sr Data Engineer

Capco

New York, United States
Base: $85; bonus/equity: not specified; benefits: ...
On-site
Python, pyspark, and snowflake
Snowflake data modeling and optimization
Modern data warehousing concepts
Design, build, and optimize scalable data pipelines, develop robust backend services, and implement advanced Snowflake data models

Job Summary

  • Design, build, and optimize scalable data pipelines, develop robust backend services, and implement advanced Snowflake data models.
  • Drive end-to-end data engineering solutions requiring deep expertise in modern data warehousing, distributed data processing, and AI-driven analytics.
  • Collaborate with cross-functional teams to enhance data quality, improve performance, and ensure secure, efficient delivery of scalable data products.

Matching Summary

Design, build, and optimize scalable data pipelines, develop robust backend services, and implement advanced Snowflake data models.

Salary

Base: $85; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Python, PySpark, and Snowflake
  • Snowflake data modeling and optimization
  • Modern data warehousing concepts
  • Advanced SQL skills
  • Cloud-based data solutions
  • Distributed data processing frameworks
  • AWS cloud platforms

Nice-to-have

  • AI-driven analytics
  • Snowflake Cortex AI experience
  • React.js for data applications
  • Data security and governance best practices
  • Cross-functional team collaboration

Key Requirements

  • 7+ years of experience in data engineering or backend development
  • Experience with Snowflake Cortex AI or similar
  • Experience delivering end-to-end data engineering solutions
  • Working knowledge of React.js
  • Experience with AWS cloud platforms
  • Experience with data security, governance, and compliance

Work Rights

Not specified

Tailored Resume

Cover Letter