> Markdown version of [/jobs/ext/2879609-senior-snowflake-developer](https://www.wearedevelopers.com/jobs/ext/2879609-senior-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). --- # Senior Snowflake Developer - **Company:** Mango LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $124,800.0 - $166,400.0 - **Contract:** Temporary contract - **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Databases, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Profiling, High-Level Architecture, Performance Tuning, Cloud Services, SQL Databases, Systems Integration, Cloud Platform System, Sql Optimization, Snowflake, Caching, Optimization Algorithms, Data Pipelines - **Published:** September 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=71b144b63a550174 ## About the Role * Dedicated Snowflake Experience: 7+ years in Data Engineering with at least 2+ years of heavy, hands-on experience working inside the Snowflake platform. * Native Feature Mastery: You don't just use Snowflake as a target database for external apps; you know how to leverage Snowpipe, Time Travel, Zero-Copy Cloning, and Streams/Tasks. * Performance Tuning: Proven ability to monitor compute costs, diagnose slow queries, and apply optimization techniques (clustering, micro-partitioning, caching). * Advanced SQL: Exceptional SQL scripting skills for deep data transformation and analysis. * Execution Focus: You are comfortable working within established architectural frameworks and taking direction on high-level design, focusing your energy on building and optimizing the solution. * Cloud Ecosystem Knowledge: Familiarity with integrating Snowflake within broader cloud environments (AWS, Azure, or GCP) and working with standard ETL/ELT orchestration tools (e.g., dbt, Airflow, Fivetran). ## Description Instead, we need a true Snowflake practitioner. We are looking for a strong executor who thrives on building robust data pipelines, optimizing complex queries, and leveraging Snowflake's native features to move and transform data efficiently. You will work closely with our Data Architects and Data Science teams to turn blueprints into high-performing, scalable reality. The Impact You Will Make You will be the engine of our data team. By bringing deep, hands-on Snowflake expertise to the table, you will: * Accelerate Delivery: Turn architectural designs into production-ready pipelines, dramatically reducing our time-to-insight. * Optimize Performance and Cost: Ensure our Snowflake environment runs at peak efficiency by fine-tuning virtual warehouses, optimizing micro-partitions, and streamlining compute resources. * Elevate Our Data Infrastructure: Transition us away from external processing bottlenecks by migrating complex transformations directly into Snowflake using its native capabilities. * Free Up Strategic Bandwidth: By taking ownership of heavy-duty building and execution, you will allow our architects to focus on long-term strategy and system design. What You Will Do * Develop, deploy, and maintain scalable data pipelines utilizing Snowflake's native ecosystem (Snowpipe, Streams, Tasks, and Snowpark). * Write advanced, highly optimized SQL queries to support complex data transformations and reporting requirements. * Manage and optimize Virtual Warehouses, applying best practices for scaling and cost control. * Collaborate with Data Architects to implement data models and ensure pipelines align with the overall data framework. * Troubleshoot data issues, identify performance bottlenecks, and implement structural improvements to existing data workflows. * Perform data profiling and ensure strict adherence to data quality and governance standards. ## 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) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [HTTP headers that make your website go faster](https://www.wearedevelopers.com/videos/1676-http-headers-that-make-your-website-go-faster) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers)