Harvey Nash

Snowflake Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Snowflake Data Engineer in Charlotte, NC, with a contract length of "unknown" and a pay rate of "unknown." Candidates must have 5+ years of experience, proficiency in Snowflake, dbt, and Python, and strong data engineering skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date
June 9, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Datasets #Python #Data Quality #Data Architecture #dbt (data build tool) #Scala #R #BI (Business Intelligence) #Data Pipeline #Data Engineering #Snowflake
Role description
Title: Data Engineer Location: Charlotte, NC "only for candidates who doesn't require any sponsorship " We are seeking a skilled Data Engineer with over 5 years of hands-on experience in building, optimizing, and maintaining scalable data pipelines and data infrastructure. The ideal candidate should be comfortable working in a fast-paced, high-ownership environment and capable of making informed decisions while proactively identifying gaps and asking the right question s . Key Responsibiliti • esDesign, develop, and maintain robust and scalable data pipeline • s.Work extensively with modern data stack tools including Snowflake, dbt, Python, and SQ • L.Build and optimize data models to support analytics and business intelligence use case • s.Ensure data quality, integrity, and reliability across system • s.Collaborate closely with analytics, product, and business teams to understand data requirement • s.Troubleshoot data issues and implement efficient solutions in a timely manne • r.Continuously improve data architecture and workflows for performance and scalabilit y . Required Skills & Qualificatio • ns5+ years of experience in Data Engineering or a related fiel • d.Strong proficiency in Snowflake, dbt, Python, and SQ • L.Solid understanding of data warehousing concepts and ETL/ELT processe • s.Experience working with large datasets and optimizing query performanc • e.Ability to thrive in a fast-paced environment with minimal supervisio • n.Strong problem-solving skills and a proactive mindse • t.Excellent communication skills, with the ability to ask the right questions and clarify requirement s.