Data Engineer III
About The Position
Preferred Travel Group is seeking a highly organized, proactive, and technically skilled Data Engineer III to design, build, and optimize scalable data solutions that support business operations. The role develops and supports modern data pipelines, integrations, and reporting capabilities, partnering with business stakeholders and engineering teams to deliver reliable, high-quality data. The engineer is expected to independently deliver well-designed solutions, improve data processes, collaborate across teams, and identify ways to increase the reliability, performance, and value of the data platform. The role works within an in-office philosophy, with associates expected to be in the office at least three days per week. The company notes that this expectation may evolve according to business needs and its commitment to culture-building.
Requirements
- At least 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.
Nice To Haves
- Experience with dbt.
- Experience with Azure Data Factory and Microsoft Fabric.
- Demonstrated technical leadership and a history of helping engineering teams successfully deliver complex initiatives.
- Strong communication skills, including the ability to clearly explain project status, risks, and technical tradeoffs to stakeholders.
- Passion for improving engineering practices, maturing team processes, and raising overall team effectiveness.
Responsibilities
- Design, build, and maintain scalable data pipelines and ETL workflows.
- Develop and optimize advanced SQL, Python, and Spark solutions for data processing.
- Build and support integrations using Azure Data Factory, Microsoft Fabric, and REST/SOAP APIs.
- Monitor, troubleshoot, and improve the reliability and performance of production data processes.
- Collaborate with business stakeholders to gather requirements and deliver data solutions.
- Participate in code reviews and maintain technical documentation.
- Mentor junior engineers and contribute to engineering best practices.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
