Senior Data Engineer

• Design, develop, test, and maintain data pipelines and ETL/ELT processes using Python, SQL, and Microsoft Fabric
• Design and develop solutions using Fabric Lakehouse and Warehouse
• Develop and optimize complex SQL queries, stored procedures, databases, and data models
• Build data integrations and APIs across multiple enterprise data sources
• Develop and support Power BI reports, semantic models, and dashboards
• Troubleshoot and optimize data pipelines, database performance, and data quality
• Work with Manufacturing and technical teams to define requirements and deliver scalable, secure, reliable, and high-performing data solutions
• Support data solutions for the Manufacturing BI team

• 5+ years of experience with SQL, data engineering, ETL/ELT, and data warehouse solutions
• Strong SQL Server, T-SQL, data modeling, and performance-tuning skills
• Programming experience with Python, Java, C#, Rust, or similar languages
• Experience with APIs, JSON, flat files, Excel, and relational databases
• Experience with Power BI or similar BI tools
• Bachelor's degree in Computer Science, MIS, or a related field
• Manufacturing data and Microsoft Fabric experience is a plus
• Familiarity with cloud platforms and AI developer tools such as Codex CLI, Claude Code, or Gemini CLI is a plus

• Remote work availability
• Work-life balance
• Diversity, compensation, and work-life balance recognition
• Complete ownership of projects
• Flat and streamlined management structure
• Opportunities to work across various company domains
• Access to every part of the company
• Test automation tools and engineering resources
• Opportunity to work with a diverse, global team