> Markdown version of [/jobs/ext/4203497-snowflake-developer](https://www.wearedevelopers.com/jobs/ext/4203497-snowflake-developer). 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 Developer - **Company:** Job Cloud Inc. - **Location:** Glendale, WI, United States - **Salary:** $114,400.0 - $124,800.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Agile Methodology, Amazon Web Services, Bash Shell, Big Data, Cloud Database, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Database Design, Database Queries, Dimensional Modeling, Apache Hadoop, Apache Hive, Python (Programming Language), Unix Shell, Microsoft SQL Server, Oracle (Applications), Azure Data Lake, Shell Script, Software Engineering, SQL Databases, Talend, Informatica Powercenter, Snowflake, Apache Spark, Vba Programming Language, Data Management, Restful APIs, Looker Analytics - **Published:** October 21, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e1acfe0b90a8514a ## About the Role * Experience in data engineering, software development, ETL pipeline development, data warehouse development, or a related area. * Strong SQL skills and familiarity with cloud databases, SQL databases, data management integration, and data modeling. * Knowledge of public cloud environments, data warehousing, and business intelligence tools. * Analysis skills and the ability to troubleshoot data and pipeline issues. * Preferred: experience with model training, VBA, Bash (Unix shell), shell scripting, and additional analytics or big data tools. ## Description * Develop and maintain Snowflake data warehouse solutions, including data model design, data modeling, dimensional modeling, and data warehousing design. * Build and manage ETL (extract, transform, load) pipelines and data management integrations using SQL, Python, Java, Informatica, Talend, or similar tools. * Integrate data from SQL databases, Microsoft SQL Server, Oracle, RESTful APIs, and linked data sources across public cloud platforms, including AWS and Azure Data Lake. * Support big data systems and analytics using Hadoop, Apache Hive, Spark, and other big data technologies. * Improve query management, database design, and data quality; collaborate in Agile software development and support business intelligence tools such as Looker.