Data Engineer

Location: Remote (U.S. preferred)

Experience Level: 5-7+ years

Citizenship: U.S. Citizen, no C2C

About the Role

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. 
• Ability to work effectively during U.S. business hours (West Coast hours for certain roles)

Preferred Qualifications

• Experience with federal government reporting projects
• Background in Supply Chain, Logistics, or Transportation analytics
• Experience in Agile or fast-paced delivery environments using Azure DevOps Boards
• Familiarity with Snowflake performance tuning and best practices

Compensation & Benefits

• Competitive salary based on experience level and qualifications
• Comprehensive benefits including health, vision, dental, and retirement plan (401k)
• Paid time off and remote work flexibility
• Long-term career growth opportunities