> Markdown version of [/jobs/ext/4645180-snowflake-data-engineer](https://www.wearedevelopers.com/jobs/ext/4645180-snowflake-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). --- # Snowflake Data Engineer - **Company:** Deloitte T.T.L. - **Location:** Lake Mary, FL, United States - **Experience:** Experienced - **Salary:** $110,000 - $150,000 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, ARM Architecture, Cloud Database, Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Migration, Data Systems, Data Warehousing, DevOps, Python (Programming Language), Microsoft SQL Server, Performance Tuning, Release Management, Power BI, Software Deployment, SQL Server Integration Services, Tableau (Software), Cloud Platform System, Data Ingestion, Snowflake, AWS Lambda, Database Migration, AWS Glue, Functional Programming, Data Pipelines, Legacy Systems, Alteryx - **Published:** November 9, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9298948/snowflake-data-engineer ## About the Role Required: * Hands-on experience with Snowflake, including data engineering, data modeling, data analysis, and pipeline development. * Strong understanding of data warehousing, ETL/ELT frameworks, and data integration practices. * Extensive experience with Microsoft SQL Server and SSIS package development. * Experience with data migration projects and modernization initiatives. * Experience with Tableau, Power BI, and Alteryx. * Strong AWS experience, including S3, AWS Glue, AWS Database Migration Service (DMS), and AWS Lambda. * Experience with CI/CD pipelines and DevOps deployment practices. * Strong SQL development, troubleshooting, and performance-tuning skills. * Analytical and problem-solving capabilities, with strong written and verbal communication skills for engaging technical and business stakeholders. A successful candidate would possess these skills: * Experience working in Agile environments. * Experience supporting enterprise-scale data and analytics platforms. * Active public sector security clearance. * Advanced Communication * Intermediate experience with AI Awareness & Solutions, Analysis Data Sources, Cortex, Python * Experience working with: Snowflake, Snowflake Data Analysis, SQL Server, SSIS, AWS S3, Glue, DMS, Lambda, Tableau, Power BI, Alteryx, ETL/ELT, data migration, data warehousing, CI/CD, cloud data engineering The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $110,000 to $150,000. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. ## Description As a US Delivery Center Snowflake Data Engineer on the team, you will: * Design, develop, and optimize data pipelines using Snowflake capabilities. * Build and maintain ETL/ELT processes for data ingestion, transformation, and integration. * Support migrations from legacy systems to cloud-based platforms. * Develop and maintain database solutions using Microsoft SQL Server and SSIS. * Collaborate with business and technical teams to understand requirements and deliver data solutions. * Integrate data with business intelligence tools to support reporting and analytics. * Implement and maintain CI/CD processes for code deployment and release management. * Promote data quality, performance, security, and clear documentation.