> Markdown version of [/jobs/ext/2156487-remote-lead-snowflake-databricks-engineer](https://www.wearedevelopers.com/jobs/ext/2156487-remote-lead-snowflake-databricks-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). --- # REMOTE Lead Snowflake & Databricks Engineer - **Company:** Insight Global - **Location:** Murray, UT, United States - **Experience:** Expert - **Salary:** $143,520.0 - $178,880.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, ARM Architecture, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Mart, Data Structures, DevOps, Dimensional Modeling, Python (Programming Language), Standard Sql, Sql Optimization, Snowflake, Apache Spark, Git, Data Lakes, Pyspark, Tools for Reporting, Software Version Control, Data Pipelines, Databricks - **Published:** August 20, 2026 - **Apply:** https://jobs.insightglobal.com/jobs/find_a_job/utah/murray/remote-lead-snowflake-databricks-engineer/job-566824/ ## About the Role Strong SQL and Data Engineering experience, Experience with Snowflake Cortex and AI capabilities Semantic layer and semantic-view development Healthcare Revenue Cycle Management (RCM) experience dbt or other transformation frameworks Data platform performance tuning and optimization Experience with enterprise data ingestion frameworks Experience supporting analytics and reporting platforms ## Description Build the platform foundation and semantic layer based on analyst-defined specifications Design and develop scalable ETL/ELT pipelines Create and maintain data models, marts, and historical data structures Develop standardization and transformation layers in Databricks Build and optimize Snowflake data assets and semantic models Enable data federation and interoperability between Databricks and Snowflake Implement testing, version control, and CI/CD best practices Partner with analytics and business teams to deliver governed, scalable data solutions Support AI and advanced analytics initiatives leveraging Snowflake and Databricks Note: This is a highly hands-on engineering role. The ideal candidate should be strong in Databricks, Snowflake, data modeling, and pipeline development, rather than traditional reporting or BI-focused analytics., Experience building and maintaining ETL/ELT data pipelines Databricks expertise including: Spark/PySpark Delta Lake Notebooks & Jobs Data standardization layers Snowflake experience including: Advanced SQL Warehouses & Role Management Semantic Views / Semantic Models Strong data modeling experience Dimensional Modeling Star Schemas SCD Type 2 History Data Mart Development Experience with cross-platform data federation between Databricks and Snowflake Python development for data pipelines and automation Git, DevOps, version control, testing, and CI/CD experience ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [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) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [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) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)