About The Position

We’re looking for a Senior Data Engineer to join our Data team - someone who’s passionate about building reliable, scalable data infrastructure and thrives on solving complex technical challenges.

In this role, you’ll own the design and development of end-to-end data pipelines that power Stampli’s analytics and data-driven decision-making. You’ll collaborate closely with both business and technical stakeholders to ensure data flows smoothly, accurately, and efficiently across the company.

What You Will Do

• Design, implement, and maintain large-scale ETL and ELT pipelines using modern data frameworks and cloud technologies.
• Work with Redshift data warehouses to design efficient schemas and optimize performance.
• Build and manage data ingestion processes from multiple sources - APIs, SaaS platforms, internal systems, and databases.
• Collaborate with stakeholders to deliver clean, well-modeled, and high-quality data.
• Build and evolve a modern, efficient, and scalable data warehouse architecture.
• Ensure observability, monitoring, and testing across all data processes.
• Apply best practices in CI/CD, version control (Git), and data quality validation.
  
  

What You Will Bring

• 5+ years of experience as a Data Engineer or ETL Developer, building large-scale data pipelines in a cloud environment (AWS, GCP, or Azure).
• Strong SQL expertise, including query optimization and data modeling.
• Hands-on experience with ETL/ELT tools such as Matillion, Rivery, SSIS, Talend, or similar.
• Solid understanding of data warehouse concepts and dimensional modeling.
• Excellent analytical and problem-solving skills.
• A collaborative mindset and the ability to work cross-functionally with internal teams.
• A self-starter and agile learner who thrives in a fast-paced, dynamic environment.
• AI/Data-related development capabilities — experience building or integrating AI-driven data solutions is a plus.
  
  

Nice to Have

• Experience with Redshift and Matillion - big advantage.
• Experience with BI tools such as Qlik or Power BI - big advantage.
• Familiarity with CI/CD pipelines.