Data Engineer

Position:Data Engineer
Employment Type:Contract
Contract Duration:1 year to start (possible extension based on performance)
Shift Details:Monday Friday | 9:00 AM 5:00 PM
Work Location:Coppell, TX or Tampa, FL (Hybrid)

Job Description

• Minimum 7 years of experience in Data Management, with deep expertise in analytical data warehousing and enterprise-scale data platforms, leading complex data initiatives end to end.
• Minimum 3 years of hands-on experience with Snowflake Cloud Data Warehouse, including advanced features and performance optimization for large, concurrent analytics workloads.
• Strong expertise in AWS cloud architecture, with hands-on experience designing and supporting scalable, secure, and cost-efficient data solutions using core AWS services.
• Develop complex SQL and PL/SQL procedures to support robust, high-performance data integration and transformation frameworks.
• Provide solutions using Snowflake services such as Snowpark, Streams, Tasks, and Snowpipe to build real-time and batch data integration solutions in an AWS ecosystem.
• Knowledge in designing, building, and operating agentic AI systems within the Snowflake Data Cloud, leveraging Cortex AI capabilities.
• Drive data architecture decisions by applying strong knowledge of logical and physical data models, enabling analytics, reporting, and business intelligence at scale.
• Lead the development of dimensional models, including slowly changing dimensions (SCDs) and various fact table designs, aligned with analytics and reporting best practices.
• Support unit testing, system integration testing, and UAT, ensuring production-ready data solutions.
• Expertise in SQL performance tuning, proactive monitoring, root cause analysis, and resolution of complex data pipeline and platform issues.
• Act as a developer within Agile delivery teams, contributing to sprint planning, story design, estimation, and documentation using Jira.
• Demonstrate strong verbal and written communication skills, effectively collaborating with architects, product owners, business stakeholders, and cross-functional technology teams.

Required Skills

• Data Management
• Analytical Data Warehousing
• Enterprise Data Platforms
• Snowflake Cloud Data Warehouse
• Snowpark
• Streams
• Tasks
• Snowpipe
• AWS Cloud Architecture
• SQL
• PL/SQL
• Data Integration & Transformation
• Agentic AI Systems
• Snowflake Cortex AI
• Data Modeling (Logical & Physical)
• Dimensional Modeling
• Slowly Changing Dimensions (SCDs)
• Fact Table Design
• Unit Testing
• System Integration Testing
• UAT
• SQL Performance Tuning
• Monitoring & Troubleshooting
• Agile Methodology
• Jira
• Strong Communication Skills

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