| Location | Atlanta, Georgia |
| Job Type | Full-time |
Job Purpose
The Data Warehouse & Analytics team is seeking a highly skilled and motivated Senior Developer who can bridge business intelligence, data engineering, and modern AI-driven analytics. This role requires strong stakeholder management, the ability to work independently across the full analytics stack, and a working knowledge of emerging AI tools and techniques. The ideal candidate will contribute to scalable data solutions, intelligent automation, and high-impact dashboards serving mission-critical financial data platforms at ICE.
Responsibilities
Work with and analyze petabyte-scale financial data efficiently across multiple sources, transforming findings into clear, actionable business insights.
Design, develop, and publish Tableau and/or Sigma Computing dashboards, reports, and visualizations for business stakeholders.
Develop generative AI-powered chatbot solutions leveraging Snowflake Cortex platform
Assist in automating data processing and reporting tasks using generative AI tools and custom solutions
Adopt and apply evolving AI methodologies, including AI-enhanced BI (Snowflake Cortex), LLM APIs, and AI-assisted development tools to accelerate delivery and unlock intelligent analytics capabilities.
Knowledge and Experience
Bachelor's or Master's degree in Data Science, Statistics, Engineering, Mathematics, Computer Science, or a related quantitative discipline.
5+ years of overall experience in BI development, data analytics, or data engineering with a proven track record of delivering high-quality, data-driven solutions.
5+ years of experience developing complex SQL queries and leveraging SQL within BI tools.
5+ years of experience with Tableau Desktop/Online and/or Sigma Computing, including building intuitive, feature-rich dashboards.
3+ years of Python proficiency, including data analysis libraries (pandas, NumPy, matplotlib, scikit-learn).
Hands-on experience with Snowflake or equivalent cloud data warehousing platforms.
Practical experience or strong working knowledge of LLM APIs, prompt engineering, and integrating generative AI capabilities into data or analytics workflows.
Demonstrated familiarity with AI-assisted development tools used in day-to-day development workflows.
Excellent communication and stakeholder management skills with the ability to operate independently in a lean, fast-paced environment.
Preferred Knowledge and Experience
Experience building agentic AI workflows using LLM APIs (tool use, multi-step reasoning, automated triage).
Familiarity with AI orchestration frameworks such as LangChain, or Anthropic's Agent SDK.
Knowledge of vector databases or semantic search for analytics use cases.
Experience with Snowflake Cortex AI features and AI-enhanced BI capabilities.
Experience with cloud platforms (AWS, Azure, GCP) and related data services.
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