Lead AI Data Engineer (Airline)
Fynbosys Inc
Dallas, United States
about 1 month ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
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
+20 more
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
Job 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.
Requirements
- 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.
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