Hybrid Data & AI Engineer — Remote M & F

Cruise-Planners

Florida

Hybrid

USD 90,000 - 150,000

Full time

14 hours ago
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Job summary

Cruise Planners is seeking a Data & AI Engineer to design, build, and operate the data and AI systems powering analytics, advisor-facing products, and internal automation. You’ll work with AWS Glue, Redshift, Step Functions, Lambda, S3, and Bedrock-based tooling, with a small team delivering end-to-end solutions.

The role blends production data engineering and applied AI, using Claude Code on MCP, in a hybrid setup (remote Mondays/Fridays; onsite Tue‑Thu).

Qualifications

  • Bachelor's degree in a related field; Master’s preferred for senior level.
  • Experience delivering production data & AI pipelines at scale.
  • Authorization to work in the United States without sponsorship.

Responsibilities

  • Design and operate data pipelines on AWS feeding Redshift.
  • Stand up containerized production pipelines on AWS Fargate/ECS.
  • Design dimensional data models and analytics marts on Redshift.
  • Implement Bedrock Data Automation pipelines and Knowledge Bases.
  • Build and deploy Bedrock AgentCore-enabled agents and tools.
  • Develop AI-powered data products for reporting and advisor use.
  • Deploy services end-to-end on AWS and maintain runbooks and alerts.

Skills

Problem-solving
Communication
Collaboration

Education

Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or related field
Master's degree preferred at Senior level

Tools

Claude Code
MCP servers
AWS (Glue, Redshift, Step Functions, Lambda, S3)

Job description

Cruise Planners is seeking a Data & AI Engineer to design, build, and operate the data and AI systems powering analytics, advisor-facing products, and internal automation. You’ll work with AWS Glue, Redshift, Step Functions, Lambda, S3, and Bedrock-based tooling, with a small team delivering end-to-end solutions.

The role blends production data engineering and applied AI, using Claude Code on MCP, in a hybrid setup (remote Mondays/Fridays; onsite Tue‑Thu).

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