> Markdown version of [/jobs/ext/4460317-data-engineer](https://www.wearedevelopers.com/jobs/ext/4460317-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). --- # Data Engineer - **Company:** Soaring Eagle Consulting, Inc. - **Location:** Apollo Beach, FL, United States - **Salary:** $110,000 - $135,000 - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Data Architecture, Data Warehousing, Microsoft SQL Server, Performance Tuning, Standard Sql, SQL Stored Procedures, SQL Server Integration Services, Transact-SQL, Workflow Management Systems, System Availability, Snowflake, Git, Data Pipelines - **Published:** October 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=06d3509c8625115c ## About the Role * Hands-on experience with Snowflake in a production environment * Solid experience building models and pipelines with dbt (Core or Cloud) * Strong SQL Server background, including T-SQL, stored procedures, and SSIS or similar * Excellent SQL skills and a solid understanding of data warehousing concepts * Availability to start immediately Nice to Have * A database administration (DBA) background, including performance tuning, backup and recovery, security, and high availability * Prior consulting experience, or a real interest in growing a consulting career * Experience with Git, CI/CD, and orchestration tools such as Airflow or Dagster * Familiarity with Azure, AWS, or GCP * Snowflake or dbt certifications ## Description * Build and maintain data models and transformations in dbt * Design, develop, and tune Snowflake environments, including warehouses, schemas, security, and performance * Migrate and integrate data from SQL Server into Snowflake * Write clean, efficient, well-tested SQL * Work with client teams to gather requirements and translate business needs into technical solutions * Recommend best practices for data architecture, governance, and cost optimization