> Markdown version of [/jobs/ext/4719103-forward-deployed-engineer-data-engineering-snowflake](https://www.wearedevelopers.com/jobs/ext/4719103-forward-deployed-engineer-data-engineering-snowflake). 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). --- # Forward Deployed Engineer - Data Engineering (Snowflake) - **Company:** Midasis Technologies Llc - **Location:** Dallas, TX, United States - **Contract:** Contract - **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Information Engineering, Data Integration, Extract Transform Load (ETL), Python (Programming Language), Cloud Services, Standard Sql, SQL Databases, Enterprise Software Applications, Snowflake, Data Pipelines - **Published:** November 14, 2026 - **Apply:** https://www.dice.com/job-detail/4e9c6715-d2b9-46b5-9a2e-06a2c06012c7 ## About the Role * Strong hands-on experience with Snowflake. * Strong SQL and Python programming skills. * Experience with ETL/ELT, data pipelines, and data modeling. * Experience with AWS or Azure cloud platforms. * Forward Deployed Engineering or client-facing solution implementation experience. * Experience in requirement gathering, solution design, and technical architecture. * Ability to build POCs and deliver end-to-end solutions. * Strong communication, problem-solving, and stakeholder management skills. ## Description We are looking for a hands-on Forward Deployed Engineer with strong Data Engineering and Snowflake experience. The candidate will work directly with business stakeholders to understand business challenges, design technical solutions, and drive end-to-end implementation. Responsibilities * Work closely with business stakeholders to gather and understand requirements. * Translate business problems into technical solutions and architecture. * Design and develop data pipelines using Snowflake, SQL, and Python. * Build and maintain ETL/ELT processes and data integrations. * Develop POCs and prototypes to validate solutions. * Integrate APIs, enterprise systems, and cloud data platforms. * Troubleshoot issues and drive solutions into production. * Collaborate with business, architecture, and engineering teams.