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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Data Snowflake Engineer - **Company:** PamTen - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Airflow, Amazon Web Services, Microsoft Azure, Unix, Information Systems, Directed Acyclic Graph (Directed Graphs), Extract Transform Load (ETL), Data Transformation, Data Mining, Data Systems, Data Warehousing, Database Queries, Python (Programming Language), Performance Tuning, Cloud Services, Shell Script, SQL Databases, Data Processing, Scripting, Freeform SQL, Google Cloud, Snowflake, Git, Information Technology, Dynamic Data, Software Version Control, Data Pipelines - **Published:** September 4, 2026 - **Apply:** https://www2.jobdiva.com/portal/?a=rijdnwzhw0mz36cpr0zwxqcj9yt1m405eam52pzlcqh06kjpfrmqaa2uyt3eiarf&compid=0/jobs/31011830#/jobs/31011830 ## About the Role Job Overview: We are looking for an experienced Snowflake Data Engineer with strong skills in SQL, Airflow, and UNIX to join our dynamic data engineering team. In this role, you will design, implement, and optimize Snowflake-based data solutions while leveraging SQL for data transformations, Airflow for orchestrating workflows, and UNIX for system management and automation., * Snowflake expertise : In-depth understanding of Snowflake architecture, security, and performance optimization. * SQL proficiency : Strong ability to write and optimize complex SQL queries for data manipulation and reporting. * Airflow experience : Hands-on experience with designing, building, and maintaining data pipelines using Apache Airflow. * UNIX skills : Experience in UNIX/Linux environments, with proficiency in shell scripting and system administration. * Experience with ETL processes and data warehousing concepts. * Ability to analyze and solve complex technical issues across different environments., * Experience with cloud services (AWS, Azure, GCP) for deploying and managing Snowflake environments. * Familiarity with Python or other scripting languages for data pipeline automation. * Knowledge of version control systems (e.g., Git). * Experience working in an Agile development environment., * Bachelor's degree in Computer Science, Information Systems, or a related field. * 5 years of experience in Snowflake development, SQL, Airflow, and UNIX. ## Description * Design, build, and maintain Snowflake data warehouses and ETL pipelines. * Develop and optimize SQL queries for data extraction, transformation, and reporting. * Create and manage DAGs (Directed Acyclic Graphs) using Airflow for data workflows. * Implement best practices for Snowflake performance tuning, cost optimization, and scalability. * Manage UNIX-based environments, perform shell scripting, and automate system processes. * Collaborate with data analysts, data scientists, and other stakeholders to deliver high-quality data solutions. * Troubleshoot and resolve performance issues in Snowflake, Airflow, and UNIX environments. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [WeAreDevelopers LIVE - Node and Package Security](https://www.wearedevelopers.com/videos/2138-wearedevelopers-live-node-and-package-security) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [The Time Paradox: Building Timezone-Safe Python/Django Applications](https://www.wearedevelopers.com/videos/1915-the-time-paradox-building-timezone-safe-python-django-applications) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland)