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Financial Services, Management Consulting, Information Technology & Services

Sr Data Engineer

New York, New York, United StatesOnsiteFull TimeSenior$85–$85 /hrPosted 2 months agoVisa sponsorship available

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Role summary

Seeking a Senior Python and Snowflake Developer to design, build, and optimize scalable data pipelines, develop backend services, and implement advanced Snowflake data models. This role requires expertise in modern data warehousing, distributed data processing, and AI-driven analytics, with experience in cloud environments like AWS. The candidate will collaborate with cross-functional teams to enhance data quality, improve performance, and ensure secure delivery of data products. Experience with Snowflake Cortex AI and React.js is also desired. This is a fully onsite, contract position in NYC.

Location: NYC | Fully Onsite | Prioritizing local candidates
Rate: $85
Contract with potential for extension
We are seeking a Senior Python and Snowflake Developer to design, build, and optimize scalable data pipelines, develop robust backend services, implement advanced Snowflake data models, and drive end-to-end data engineering solutions. This role requires deep expertise in modern data warehousing, distributed data processing, and AI-driven analytics. The ideal candidate will collaborate with cross-functional teams, enhance data quality, improve performance, and ensure secure, efficient delivery of scalable data products across complex business environments.
Job Requirements – Senior Snowflake Data Engineer

  • 7+ years of experience in data engineering or backend development roles
  • Strong hands-on experience with Python, PySpark, and Snowflake
  • Proven expertise in Snowflake data modeling, performance tuning, and optimization
  • Experience working with Snowflake Cortex AI or similar AI-enabled data platform capabilities
  • Solid understanding of modern data warehousing concepts (dimensional modeling, ELT/ETL, data marts, optimization strategies)
  • Advanced SQL skills and experience designing scalable data models
  • Experience delivering end-to-end data engineering solutions in cloud-based environments
  • Working knowledge of React.js for building or supporting data-driven front-end applications
  • Strong understanding of distributed data processing frameworks
  • Experience with AWS cloud platforms
  • Strong understanding of data security, governance, and compliance best practices
  • Proven ability to collaborate effectively with cross-functional teams in complex enterprise environments
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