Senior Developer
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Before you apply
LocationOFF USA: GA Atlanta (5680 New Northside Drive), United States
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentData Warehouse & Analytics
Company size10,000+ people
First seenOct 17, 2026 · 2w ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
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
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
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
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
Skills
Tableau
Sigma Computing
Snowflake Cortex
SQL
Python
pandas
NumPy
matplotlib
scikit-learn
Snowflake
LLM APIs
LangChain
Anthropic Agent SDK
AWS
Azure
GCP
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.
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Develop generative AI-powered chatbot solutions leveraging Snowflake Cortex platform
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Assist in automating data processing and reporting tasks using generative AI tools and custom solutions
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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
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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.
Legal
Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.
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