Data Engineer
Summary
Builds and maintains data pipelines in Keboola to integrate and transform supply-chain and logistics data for analytics, using SQL, Snowflake, and Azure DevOps.
Data Engineer
Location: Remote
Citizenship:U.S. Citizen, Green Card
No 3rd parties
We’re seeking a Data Engineer to design and optimize data pipelines supporting our Supply Chain, Logistics, and Transportation operations. You’ll work with business and technical teams to integrate, transform, and deliver high-quality data for analytics and reporting.
Responsibilities:
Build and maintain data pipelines using Keboola.
Integrate and model data from multiple business systems.
Ensure data accuracy, reliability, and scalable performance
Collaborate with analysts and engineers to support analytics needs.
Contribute to documentation, governance, and pipeline automation.
Qualifications:
5 years of experience in data engineering or data integration.
Hands-on with Keboola (1 year preferred) or strong experience with similar tools.
Proficient in SQL and familiar with cloud data platforms such as Snowflake.
Understanding of APIs, JSON, and data modeling.
Experience using Azure DevOps Boards in a team-based Agile environment.
Preferred: Experience in Supply Chain, Logistics, or Transportation; Python scripting; CI/CD and version control (Git); and Azure DevOps experience managing repositories, pipelines, and software releases.