[Hiring] Senior Data Engineer @Virgin Voyages

Role Description

Virgin Voyages is looking for a Principal Data Engineer to set the technical direction for how we build, run, and modernize our data platform. You'll own platform architecture, pipeline design, reliability, and data quality, and you'll lead the way in making AI-assisted development the everyday standard for how our data engineers work. This is a senior individual contributor role with no formal people management.

You'll work with a high degree of autonomy across Data Engineering, MLOps, and DataOps, partnering with Analytics Engineering, machine learning teams, and stakeholders across the business to deliver data foundations that power both analytics and AI.

You will use tools like Claude Code, Cursor, and Codex every day, and you know how to pair them with solid engineering discipline: version control, code review, automated testing, CI/CD, and observability. You'll help us build an end-to-end, AI-driven development pipeline and set the bar for how AI-generated code gets reviewed, tested, and shipped.

This opportunity sets sail as a fully remote role based in the United States of America. To come aboard, you must currently reside full-time in one of the following states: FL, GA, IL, NY, NC, PA, TN, and TX. Please note that this list is regularly evaluated and subject to change at any time. Occasional in-person meetings or team gatherings may take place at our Virgin Voyages Corporate Office in Plantation, FL.

Qualifications

• 10+ years of experience in data engineering or related data platform roles.
• Demonstrated experience designing and evolving modern data platforms, pipelines, and architecture.
• Strong SQL and Python skills.
• Hands-on, daily use of AI coding tools such as Claude Code, Cursor, or Codex.
• Experience designing or building AI-driven development workflows that integrate AI agents and coding tools into testing, code review, and CI/CD.
• Solid software engineering practices: Git-based version control, code review, and automated testing (unit, integration, and data quality tests).
• Experience building and maintaining CI/CD pipelines for data and platform code, with familiarity with Scala, Maven, and Bitbucket Pipelines.
• Strong experience implementing observability in production data environments, including monitoring, alerting, logging, and lineage.
• Proven ability to improve reliability and data quality in production data systems.
• Experience with cloud-based data platforms and managed services across a modern data stack.
• Experience establishing engineering standards, architecture patterns, and reusable technical frameworks.
• Experience enabling AI use cases through strong data engineering foundations.
• Proven ability to operate independently and lead technical direction with a high degree of autonomy.

Requirements

• Experience with GCP, including BigQuery.
• Experience with dbt or other modern data transformation frameworks.
• Ops or DevOps knowledge, including familiarity with Cloud Run and Kubernetes.
• Exposure to MLOps concepts and collaboration with machine learning engineers.
• Experience building AI agents and agentic workflows, including Model Context Protocol (MCP) servers that connect AI tools to data platforms and internal systems.
• Familiarity with LLM application patterns such as RAG, embeddings, and vector search, plus evaluating and monitoring AI systems in production.
• Experience with DataOps practices and modern platform operating models.
• Experience in travel, hospitality, consumer platforms, or recommendations and personalization use cases.
• Strong stakeholder communication and cross-functional collaboration skills.

Benefits

• Inclusive workplace environment that allows you to be your best self.
• Commitment to being an Equal Opportunity Employer.