RRemoteville

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Amtrak logoAmtrak

Data & AI Engineer

Skills
Computer ScienceAnalyticsBusinessBusiness InsightsCFRContinuous ImprovementDigital Technology
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Bachelor’s degree in Computer Science Data Engineering Information Systems or related technical field
  • 2–4 years of hands-on experience in data engineering integration or software development
  • Proficiency in Python and SQL
  • Strong foundation in data and AI architecture including feature pipelines model serving and inference patterns
  • Understanding of ETL ELT concepts APIs and data pipeline orchestration
  • Experience building federated data and feature models
  • Experience with cloud or hybrid data environments
  • Strong analytical debugging and problem-solving skills
  • Ability to work independently and deliver high-quality results within an agile framework
  • Effective collaboration and communication skills across technical and business stakeholders

Nice to have

  • Independent
  • Analytical
  • Collaborative
  • Detail-oriented
  • Problem-solver

Day to day

  • Design, develop, and maintain scalable data pipelines, AI frameworks, and integration workflows for analytics and AI applications.
  • Implement data transformation, validation, and quality controls to improve reliability, compliance, and trust in enterprise data products.
  • Collaborate with architects, analysts, and data scientists to operationalize data models, business logic, and production-ready insights.

Hiring process

  • Apply online
  • Background check
  • Pre-employment drug screen