Snowflake Data Engineer – Platform Optimization

New York, NY, US • Posted 2 hours ago • Updated 2 hours ago
Contract Corp To Corp
Contract W2
12 Months
75% Travel Required
Able to Sponsor
On-site
Depends on Experience
Company Branding Image
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Snow Flake Schema
  • SQL
  • Warehouse
  • Optimization
  • Amazon S3
  • Amazon Web Services
  • Caching
  • Apache HTTP Server
  • Cloud Computing
  • Benchmarking
  • Database
  • Management
  • Storage
  • Data Architecture
  • Access Control
  • Concurrent Computing
  • Performance Tuning

Summary

Title: Snowflake Data Engineer – Platform Optimization
Location : New York, NY
Work Type: Hydrid/Remote
 
 
 
Snowflake Data Engineer – Platform Optimization
We are seeking an experienced Snowflake Data Engineer to support workload optimization, platform performance, resiliency, and cost efficiency. The role will focus on analyzing existing Snowflake workloads, improving resource utilization, and supporting integration with an AWS-based open data platform using Amazon S3, Apache Iceberg, and Apache Polaris.
Key Responsibilities
  • Design and validate Snowflake integration with Amazon S3, Apache Iceberg, and Apache Polaris.
  • Analyze Snowflake workloads, query performance, warehouse utilization, concurrency, and consumption patterns.
  • Identify and implement performance-tuning and cost-optimization opportunities across databases, warehouses, pipelines, and dbt workloads.
  • Review platform incidents and workload failures to improve reliability, resiliency, monitoring, and operational controls.
  • Support workload benchmarking and placement assessments across Snowflake and AWS services.
  • Establish optimization recommendations, platform guardrails, and measurable cost-efficiency improvements.
Required Skills
  • Strong hands-on Snowflake integration with Amazon S3, Apache Iceberg, Apache Polaris, or another Iceberg REST Catalog.
  • Strong hands-on experience with the Snowflake platform, SQL, workload management, and query performance tuning.
  • Experience optimizing virtual warehouses, storage, clustering, caching, concurrency, and Snowflake credit consumption.
  • Knowledge of Snowflake security, access controls, data sharing, monitoring, and operational best practices.
  • Experience troubleshooting complex data pipelines and platform performance issues.
  • Strong understanding of cloud data architecture and integration patterns.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10515530
  • Position Id: 9076203
  • Posted 2 hours ago

Company Info

About Techno Talent Inc.

In this competitive industry, we continually improve our Human Capital Management (HCM) practices and programs to be innovative, well-targeted, and industry leading.
 
Our need for exceptionally skilled, enterprising, and ambitious technical people is constant, and we are passionate about not only attracting but also developing and retaining such high caliber employees. We invite you, a potential employee, to learn more about our HCM practices and programs.
 
Our entire culture exudes a passion for this mutual advancement.
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DJ

Daniel Joseph

Recruiter @ Techno Talent Inc.
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