> Markdown version of [/jobs/ext/3649256-snowflake-data-engineer](https://www.wearedevelopers.com/jobs/ext/3649256-snowflake-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Snowflake Data Engineer - **Company:** SFE PARTNERS LLC - **Location:** Charlotte, NC, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Cloud Computing, Information Systems, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), NoSQL, Standard Sql, Software Engineering, SQL Databases, Workflow Management Systems, Scripting, Google Cloud, Large Language Models, Snowflake, Apache Spark, Generative AI, Information Technology, Apache Kafka, Data Pipelines, Databricks - **Published:** October 9, 2026 - **Apply:** https://www.careerjet.com/jobad/us0e2cf529718f84d95db47163754ad28c ## About the Role Must Have Technical/Functional Skills * Data engineer experience, SQL, AWS, Python * Data Engineering practices, combined with hands-on exposure to Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Vector Databases, and AI-driven data pipelines., * 6+ years of data engineering experience * 3+ year of experience working in a data engineering, data science, or software engineering capacity * Expertise in writing and maintaining robust data pipelines in SQL and Python * A track record of turning data requirements from stakeholders into actionable plans * Experience with cloud-native solutions * A history of implementing and upholding best practices in data pipelines, ensuring accuracy, consistency, and reliability Preferred Qualifications * Bachelor's degree, or Master's degree in computer science, statistics, information systems, or a related, technical field * Experience with a scripting language (e.g., Python, Java, or R), * 5+ years of experience in data warehousing, data modelling, and building/maintaining ETL/ELT pipelines at scale. * Extensive experience with AWS, Google Cloud Platform (GCP), or Azure. * Proficiency in Apache Spark, Kafka, NoSQL databases, and orchestration tools like Apache Airflow. * Strong skills in Python, Java, or Scala. * Deep knowledge of SQL and, specifically, experience with Snowflake, Data bricks, or Redshift.