Join CI&T as a Soda FDE and help ensure the data powering AI agents is reliable and ready for business use. You’ll combine full-stack engineering, data quality, and client collaboration to deliver working solutions built on validated data.

Responsibilities

• Define and automate data quality checks using Soda
• Monitor data pipelines and identify anomalies, gaps, and schema changes before they reach production
• Translate business rules into measurable data quality standards
• Incorporate data governance into solution architecture
• Work with clients to understand their data reliability needs
• Build and integrate full-stack applications, APIs, and AI-enabled solutions within client environments
• Apply testing, code review, CI/CD, and security practices throughout iterative delivery

Required Qualifications

• 7–10+ years of practical experience delivering full-stack applications
• Strong proficiency in Python and TypeScript or JavaScript
• Extensive experience developing and consuming RESTful and GraphQL APIs
• Solid knowledge of relational SQL and non-relational NoSQL databases
• Daily experience using AI-assisted development tools such as Cursor, GitHub Copilot, or Claude Code, with disciplined review, testing, and refactoring of generated code
• Hands-on experience with LLM APIs such as OpenAI, Anthropic, or Azure OpenAI, or equivalent
• Practical understanding of prompting, RAG-style Q&A, streaming user experiences, and common LLM failure modes, including hallucinations, latency, and cost
• Experience deploying code into Azure cloud environments
• Experience with Databricks and Soda for data pipelines and data quality
• Professional written and spoken English for technical collaboration
• Clear communication about work status, requirements, risks, and blockers

Preferred Qualifications

• Experience delivering AI-enabled products that connect to existing enterprise systems
• Ability to balance data quality, engineering standards, and business outcomes

What We’re Looking For
You see data quality as a business outcome and can turn requirements into practical, reliable solutions. You work collaboratively with clients and teammates, communicate clearly, and help deliver AI agents grounded in trustworthy data.