Data Engineer (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Engineer (AI): Developing and deploying Python-based data pipelines to support complex business applications with an accent on CI/CD automation and cloud-native architecture. Focus on integrating GenAI tools, LangChain frameworks, and Snowflake data solutions to enhance operational efficiency and system scalability.
Location: Must be based in Irving, Texas, USA
Salary: $97,530 - $158,480
Company
A global leader in construction and mining equipment, leveraging advanced digital solutions, telematics, and AI to build sustainable infrastructure.
What you will do
- Develop and maintain complex Python data pipelines for business-critical applications.
- Design and deploy CI/CD pipelines to improve development velocity and operational efficiency.
- Implement source-to-target mapping as pipeline code.
- Perform unit and integration testing to ensure high software quality standards.
- Identify and resolve complex technical problems within data systems.
- Apply GenAI tools and frameworks like LangChain and LangGraph to solve real-world engineering challenges.
Requirements
- Must be based in or able to work from Irving, TX
- 5+ years of software development experience with strong OOP principles.
- 4+ years of experience designing and developing applications in Python.
- Proficiency with AWS services (Lambda, Kinesis, S3, SageMaker, etc.) and Snowflake.
- Experience with Git version control and CI/CD tools like GitHub Actions or Azure DevOps.
- Proven ability to apply GenAI tools in practical use cases.
- Strong communication skills for cross-functional team collaboration.
Nice to have
- Experience with LangChain and LangGraph frameworks.
- Hands-on experience with AI coding assistants like GitHub Copilot or Claude Code.
Culture & Benefits
- Comprehensive medical, dental, and vision insurance plans.
- 401(k) savings plan with company contribution.
- Generous paid time off including vacation and holidays.
- Tuition reimbursement and career development programs.
- Parental leave and adoption benefits.
- Inclusive work environment with global career growth opportunities.
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