Snowflake Data Engineer

Harvey Nash; Charlotte (NC); On-site; USD 90,000 - 120,000; Full time

Job summary

Harvey Nash is seeking a skilled Data Engineer based in Charlotte, North Carolina. The ideal candidate will have over 5 years of hands-on experience in building and optimizing data pipelines, and working in a fast-paced environment.

Responsibilities include designing and maintaining scalable data infrastructure, collaborating with various teams, and ensuring data quality. Candidates should possess strong skills in Snowflake, dbt, Python, and SQL.

Qualifications

• 5+ years of experience in Data Engineering or a related field.
• Strong proficiency in Snowflake, dbt, Python, and SQL.
• Solid understanding of data warehousing concepts and ETL/ELT processes.

Responsibilities

• Design, develop, and maintain robust and scalable data pipeline.
• Collaborate closely with teams to understand data requirements.
• Troubleshoot data issues and implement efficient solutions.

Skills

Data Engineering

Snowflake

dbt

Python

SQL

Problem-solving

Communication skills

Tools

Snowflake

dbt

Python

SQL

Job description

Only for candidates who do not require sponsorship.

Position Overview

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 questions.

Key Responsibilities

• Design, develop, and maintain robust and scalable data pipeline.
• Work extensively with modern data stack tools including Snowflake, dbt, Python, and SQL.
• Build and optimize data models to support analytics and business intelligence use case.
• Ensure data quality, integrity, and reliability across system.
• Collaborate closely with analytics, product, and business teams to understand data requirement.
• Troubleshoot data issues and implement efficient solutions in a timely manner.
• Continuously improve data architecture and workflows for performance and scalability.

Required Skills & Qualifications

• 5+ years of experience in Data Engineering or a related field.
• Strong proficiency in Snowflake, dbt, Python, and SQL.
• Solid understanding of data warehousing concepts and ETL/ELT processes.
• Experience working with large datasets and optimizing query performance.
• Ability to thrive in a fast‑paced environment with minimal supervision.
• Strong problem‑solving skills and a proactive mindset.
• Excellent communication skills, with the ability to ask the right questions and clarify requirement.