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# Lead AI Data Engineer (Airline)

- **Company:** Fynbosys Inc
- **Location:** Dallas, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Amazon S3, Cloud Engineering, Software Quality, Continuous Integration, Information Engineering, Data Governance, Extract Transform Load (ETL), Python (Programming Language), OAuth, OpenID, Software Engineering, SonarQube, SQL Databases, Large Language Models, Prompt Engineering, AWS Lambda, Gitlab, Vue.js, Pytest, Data Lakes, AWS Fargate, Data Management, Machine Learning Operations, Front End Software Development, Cloudwatch, Restful APIs, Terraform, Docker, Databricks
- **Published:** September 23, 2026
- **Apply:** https://www.dice.com/job-detail/3c1dbe58-900d-4772-a803-d311c60eb37a

## About the Role

* Strong experience with Python, SQL, AWS, and Databricks.
 * Expertise in AI/LLM technologies: RAG, Prompt Engineering, Agentic Workflows, Vector Databases, Bedrock.
 * Experience with Databricks (Genie, Unity Catalog, Delta Lake, MLflow, Databricks SQL).
 * Knowledge of REST APIs, OAuth/OIDC, ETL/ELT, Data Modeling, and Data Governance.
 * Experience with Terraform, GitLab, CI/CD, Docker, and cloud-native architecture.
 * Strong understanding of solution architecture, security, design reviews, and production support.

Preferred Technologies

 * AWS: Lambda, S3, Glue, Athena, CloudWatch, ECS/Fargate, Step Functions.
 * AI Frameworks: LangChain, LangGraph, Amazon Bedrock.
 * Frontend: Vue.js, JavaScript.
 * Testing: PyTest, SonarQube, Ruff, Black.

Desired Experience

 * 10+ years in Software Development/Data Engineering.
 * 3+ years leading technical teams and enterprise-scale AI/Data platforms.
 * Strong stakeholder management, communication, and mentoring skills.

## Description

* Lead and mentor development teams.
 * Design and review scalable application architectures.
 * Drive software development, testing, deployment, and production readiness.
 * Collaborate with business stakeholders and solution architects.
 * Ensure code quality, performance, security, and governance standards.
 * Manage technical delivery, estimates, and project planning.
 * Evaluate and implement new technologies and best practices.