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Sr Data Engineer

Capco

US - New York Remote permanent

Posted: April 6, 2026

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Quick Summary

We are seeking a highly skilled Senior Python and Snowflake Developer to design, build, and implement advanced data pipelines, developing robust backend services and driving end-to-end data engineering solutions, with a focus on scalability and performant analytics.

Job Description

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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