Data EngineerAn established organization in the financial services sector is seeking a skilled Data Engineer. The selected professional will lead complex data initiatives from end to end, contributing to the development of enterprise-scale data platforms. This hybrid opportunity requires collaboration within agile delivery teams to support robust data integration and transformation frameworks.Location: Coppell, Texas (Hybrid) Alternate Location: Tampa, FloridaKey ResponsibilitiesLead complex data initiatives end to end within analytical data warehousing and enterprise-scale data platforms.Design and support scalable, secure, and cost-efficient data solutions leveraging core AWS cloud architecture.Develop complex SQL and PL/SQL procedures to support robust, high-performance data integration and transformation frameworks.Build real-time and batch data integration solutions utilizing Snowflake services such as Snowpark, Streams, Tasks, and Snowpipe.Design, build, and operate agentic AI systems within the Snowflake Data Cloud using Cortex AI capabilities.Drive data architecture decisions by applying knowledge of logical and physical data models to enable business intelligence at scale.Lead the development of dimensional models, including slowly changing dimensions and various fact table designs.Conduct SQL performance tuning, proactive monitoring, root cause analysis, and resolution of complex data pipeline issues.Participate actively in Agile delivery teams, contributing to sprint planning, story design, estimation, and documentation.Collaborate effectively with architects, product owners, business stakeholders, and cross-functional technology teams.Required QualificationsEducation: Bachelor's degree in Computer Science, Information Systems, or a related technical field is preferred.Experience: Minimum of seven years of experience in Data Management, with deep expertise in analytical data warehousing and enterprise-scale data platforms. A minimum of three years of hands-on experience with Snowflake Cloud Data Warehouse is required.Technical Skills: Strong expertise in AWS cloud architecture and designing scalable data solutions. Proficiency in SQL, PL/SQL, Snowpark, Streams, Tasks, and Snowpipe. Knowledge of logical and physical data modeling, dimensional modeling, and SQL performance tuning.
Experience with Jira in Agile environments is required.Preferred QualificationsExperience working within the financial services industry.Hands-on experience implementing agentic AI systems within the Snowflake Data Cloud using Cortex AI.
Data Engineer in tampa at Unknown Company
This position is listed as full time and hybrid.