> Markdown version of [/jobs/ext/4601592-data-engineer-with-snowflake](https://www.wearedevelopers.com/jobs/ext/4601592-data-engineer-with-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). --- # Data Engineer with Snowflake - **Company:** Robotics Technologies LLC - **Location:** Austin, TX, United States - **Salary:** $176,800.0 - **Contract:** Temporary contract - **Skills:** Query Performance, Data Governance, Data Profiling, Python (Programming Language), SQL Databases, Strategies of Testing, Snowflake - **Published:** November 6, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=0b8322afc6e0de8d ## About the Role * SQL: Highly Skilled. * Must be familiar with common table elements (CTEs), complex joins, and analytic & windowing functions. * Python: Some experience is required. We prefer Intermediate or higher skill. * Snowflake: Prefer candidates with real-world experience using Snowflake. * Data Profiling: Must be able to identify unique and primary keys and determine cardinality, data type, precision, and scale, and skew. * Effective communication skills to communicate internally within our team and externally across other teams, notably. * Product and QA Understands the scope and context of the work and takes initiative to achieve the goals, rather than waiting to take specific direction. Good to have skills: - * Healthcare Industry Experience: Some experience is desired, preferably Payer experience. * Data Modeling Experience desired. ## Description * Design and implement scalable data models and pipelines that align with business objectives. * Develop complex DBT models using advanced features (macros, packages, custom materializations). * Collaborate with business leaders to translate complex requirements into technical solutions Identify and resolve performance bottlenecks in Snowflake queries and DBT models. * Optimize Snowflake warehouse configurations and query performance Design and implement data quality frameworks and testing strategies. * Create reusable DBT packages and macros for team-wide use. * Manage CI/CD pipelines for DBT deployments. * Review and approve pull requests from junior team members. * Troubleshoot production issues and implement long-term solutions.