Job Description

Closing Date: 2025-08-16
Job Type: Permanent
Job Level: Skilled
Experience: Between 5 - 7 Years
EE/AA: No
Summary
As a Data Engineer, you will be part of a service-focused engineering team responsible for developing and maintaining scalable data infrastructure. You will work closely with cross-functional teams to deliver data solutions that power strategic decision-making. This role requires a strong sense of ownership, a passion for innovation, and the ability to move fast while delivering high-quality results.
Description

• Design, build, and maintain scalable data pipelines and platforms in a cloud environment.
• Collaborate with product, analytics, and engineering teams to understand data requirements and deliver solutions.
• Apply best practices for data modeling, warehousing, and data quality assurance.
• Troubleshoot and resolve performance and data quality issues.
• Contribute to the continuous improvement of data engineering standards and practices.
• Innovate by identifying automation opportunities and implementing new tools or technologies.
• Publish frequently, iterate fast, and improve based on feedback and learning.

• 5+ years of experience as a Data Engineer in data platform or service engineering teams.
• At least 2 years working in a modern cloud technology environment (e.g., AWS, Azure, GCP).
• Demonstrated track record of driving impact and investing in personal and professional development.
• Strong experience in building scalable data infrastructure, ETL pipelines, and cloud-based data services.
• Proficiency with tools such as SQL, Python/Scala, Spark, and cloud-native data platforms.
• Excellent problem-solving skills and a mindset geared towards continuous improvement and innovation