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Preferred Travel GroupPosted 2 weeks ago

Data Engineer III

$120,000–$150,000 year

HybridChicago, Illinois, United States or Newport Beach, California, United States

Full TimeBachelors DegreeMedium

Job Summary

Design and maintain scalable data pipelines and ETL workflows using advanced SQL, Python, and Spark solutions. Build integrations via Azure Data Factory, Microsoft Fabric, and REST/SOAP APIs while monitoring production reliability and performance. Collaborate with stakeholders to gather requirements, participate in code reviews, and mentor junior engineers on engineering best practices. This role requires 5+ years of data engineering experience with a Bachelor's degree, operating within a hybrid in-office model of three days per week at Preferred Travel Group.

Required Qualifications

  • 5+ years of experience in data engineering or a related field
  • Bachelor's degree in Computer Science, Information Systems, or equivalent experience
  • Strong SQL development and query optimization experience
  • Experience with Python and modern ETL/orchestration tools
  • Experience with Microsoft Azure, Microsoft Fabric, or similar cloud data platforms
  • Experience using Git and collaborative software development practices
  • Strong understanding of data modeling and ETL concepts
  • Strong analytical and problem-solving abilities
  • Ability to independently manage complex technical work while collaborating across teams
  • Strong written and verbal communication skills
  • Commitment to continuous improvement and knowledge sharing
  • Must be in the office at least three days per week

Desired Qualifications

  • Experience with dbt
  • Demonstrated technical leadership and a history of helping engineering teams successfully deliver complex initiatives
  • Strong communication skills with the ability to clearly explain project status, risks, and technical tradeoffs to stakeholders
  • A passion for improving engineering practices, helping mature team processes, and raising the overall effectiveness of the team
  • Experience with Azure Data Factory and Microsoft Fabric

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