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. Success requires independently delivering well-designed solutions, continuously improving data processes, collaborating across teams, and identifying ways to improve the reliability, performance, and value of the data platform. The position designs and maintains data pipelines and ETL workflows; develops SQL, Python, and Spark solutions; builds integrations; and monitors and improves production data processes. It also involves requirements gathering, code reviews, technical documentation, mentoring junior engineers, and contributing to engineering best practices. The company expects associates to work in the office at least three days per week under its current in-office philosophy. This expectation may evolve with business needs. The listed salary range is $120,000–$150,000, with actual compensation based on factors including experience and expertise.
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.
- A passion for improving engineering practices, helping mature team processes, and raising the overall effectiveness of the team.
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
