> Markdown version of [/jobs/ext/4299257-lead-data-engineer](https://www.wearedevelopers.com/jobs/ext/4299257-lead-data-engineer). 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). --- # Lead Data Engineer - **Company:** OPEN CONVERSATION LLC - **Location:** Atlanta, GA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Adaptable Database Systems, Continuous Integration, Data Profiling, Python (Programming Language), Performance Tuning, Freeform SQL, Macros, Sql Optimization, Snowflake, Data Pipelines - **Published:** October 6, 2026 - **Apply:** https://www.careerjet.com/jobad/us7dc1973cc13f6943ac0bf588d6dd3193 ## About the Role * Advanced SQL CTEs, complex joins, analytic & window functions * Snowflake query & warehouse performance optimization * DBT advanced models, macros, packages & custom materializations * Python intermediate or higher * Data Profiling keys, cardinality, data types, precision, scale & skew * Data Quality & Testing Frameworks * CI/CD for DBT deployments * Data Modeling * Healthcare/Payer experience ## Description Interested candidates are required to include their LinkedIn URL, email address, and cell phone number along with their resume when submitting their profile. Mandatory Requirements * DBT * Snowflake * Advanced SQL * Python * Data Modeling * CI/CD * Healthcare Domain Experience Roles & Responsibilities * Design and implement scalable data models and data pipelines aligned with business requirements. * Develop complex DBT models using advanced features, including macros, packages, and custom materializations. * Work extensively with Snowflake for query and warehouse performance optimization. * Develop and optimize complex SQL queries using CTEs, complex joins, analytic and window functions. * Perform data profiling, including analysis of keys, cardinality, data types, precision, scale, and data skew. * Implement and support data quality and testing frameworks. * Support CI/CD processes for DBT deployments. * Develop and maintain data models supporting healthcare and payer-related data requirements. * Collaborate with business and technical teams to translate requirements into scalable data solutions.