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Job Description

Hilton is seeking a Data Engineer in the Enterprise, Architecture & Data (EAD) group on a contract basis to advance data architecture and enterprise data integration across Hilton’s data ecosystem. The position, based in McLean, VA with a hybrid work arrangement, requires at least three years of relevant experience and a collaborative, cross-functional approach to translating complex requirements into practical data solutions.

Responsibilities

  • Interpret project requirements to support new and existing systems within the data ecosystem.
  • Plan and organize work streams, identify data needs, and understand design and solution architectures.
  • Evaluate enterprise data characteristics and the current technical landscape to gauge implications for new architectures and analytical reporting.
  • Engage with data and business teams in Martech to align on information assets and gain hands-on experience.
  • Track projects through the implementation phase and brief senior leadership on status, risks, and issues.
  • Collaborate with internal partners across Business, Product, Technology, and Analytics functions.
  • Provide support to internal data teams by clarifying work and proactively addressing risks and issues.
  • Maintain open communication and alignment across the broader data organization.
  • Capture detailed requirements for new business initiatives and craft solutions to deliver on these initiatives.

Requirements

  • Hands-on experience with data quality, ETL, and ongoing data maintenance.
  • Proficiency in Talend, AWS Glue, and AWS Lambda.
  • Expertise with CDW and Redshift, Snowflake, and related platforms.
  • Strong background in cloud and hybrid data environments and platforms.
  • Familiarity with Amazon Web Services cloud environment.
  • Ability to function effectively in customer-facing settings.
  • Solid organizational and project-management capabilities.
  • Excellent communication and collaboration skills.

Technologies

  • Talend
  • AWS Glue
  • AWS Lambda
  • CDW
  • RedShift
  • Snowflake
  • AWS
  • Amazon Web Services

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