A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
Tampa, FL Job Details 17 hours ago Qualifications Data model design Commercial use (data warehousing systems) Performance tuning Cloud analytics services Data Integration (Data management) RESTful API System performance optimization Git Schema design Snowflake Stored procedures SQL Data Architecture Design (Architecture design skills) ETL process automation Cloud database architecture Improving database performance Continuous integration Azure Logic Apps System tuning Data performance optimization Technical architecture
Full Job Description Job Title:
Senior Data Engineer Location:
Florida (Hybrid)
Experience:
10+ Yrs. Role Summary We are looking for a Senior Data Engineer with strong hands-on expertise in Snowflake, SQL, ETL/ELT, Data Modeling, Database Design, and Medallion Architecture. The candidate should be experienced in building scalable data pipelines and working with cloud-based data platforms. Key Responsibilities Design and develop Snowflake-based data solutions and ETL/ELT pipelines. Implement Medallion Architecture (Bronze, Silver, Gold). Develop complex SQL, Snowflake Scripting, Stored Procedures, Streams & Tasks. Implement CDC and incremental data processing. Design data models, schemas, fact/dimension tables, and SCD Type 1/2. Perform SQL/Snowflake performance tuning and production troubleshooting. Work with Snowpipe, Dynamic Tables, Stages, Views, and Materialized Views. Develop/support Streamlit applications with Snowflake. Work with Python/Snowpark and Azure Logic Apps. Implement data quality, auditing, reconciliation, security, and RBAC. Participate in code reviews and mentor junior engineers. Must-Have Skills Snowflake - Expert SQL - Expert
ETL / ELT
Medallion Architecture Data Modeling & Database Design Snowflake Scripting Streams & Tasks Stored Procedures Data Warehousing Good to Have Streamlit Python / Snowpark Snowpipe / Dynamic Tables Azure Logic Apps Azure Data Services REST APIs / JSON Git / CI/CD Data Quality & Governance Experience 8+ years in Data Engineering / Data Warehousing. 4+ years of Snowflake experience preferred. Strong experience in enterprise data pipelines and cloud data platforms. Strong production support and performance-tuning experience. Good communication, problem-solving, and technical leadership skills.
