> Markdown version of [/jobs/ext/3958097-senior-developer](https://www.wearedevelopers.com/jobs/ext/3958097-senior-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Developer - **Company:** Intercontinental Exchange - **Location:** Atlanta, GA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, ARM Architecture, Microsoft Azure, Business Intelligence Development, Cloud Database, Data as a Services, Information Engineering, Data Warehousing, Python (Programming Language), NumPy, Search Technologies, SQL Databases, Systems Integration, Tableau (Software), Data Processing, Freeform SQL, Google Cloud, Large Language Models, Snowflake, Multi-Agent Systems, Prompt Engineering, Agentic-AI, Pandas, Matplotlib, Scikit Learn, Information Technology, Data Analytics, Agent SDK, Data Pipelines - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-developer-atlanta-ga--09db8b16-ec1f-4266-95ce-45ef19153c41 ## About the Role Data Warehousing, Automation, Business Intelligence, Reporting Dashboards, Bridge Building, Artificial Intelligence (AI), Data Analysis, Analysis Skills, Tableau, Conversation Engine, * 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. ## Description 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., * 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.