Data Engineer

• Develop and maintain SQL queries, views, stored procedures, and triggers to support data ingestion and transformation
• Model and manage structured data to support analytics, reporting, and application needs
• Build and maintain data pipelines and ETL/ELT processes
• Ensure data quality, consistency, and reliability across data systems
• Monitor, troubleshoot, and optimize data workflows and query performance
• Collaborate with software and data architects, engineers, and stakeholders to understand data requirements
• Document data flow, schemas, and data definitions
• Follow data governance, security, and compliance standards
• Independently manage assigned work items and commitments
• Communicate technical information clearly to both technical and non-technical teams
• Pursue continuous learning and professional skill development

• Proven experience in data engineering, analytics engineering, or similar role
• Strong SQL proficiency, including complex queries, views, stored procedures, and triggers
• Experience with relational databases and data modeling concepts
• Ability to analyze data issues, identify root causes, and implement effective solutions
• Hands-on experience with cloud data platforms, data warehouses, or data lakes
• Experience building and maintaining data pipelines or ETL/ELT processes
• Experience supporting analytics, reporting, or BI use cases
• Experience with data quality monitoring
• Strong written and verbal communication skills
• Demonstrated accountability and ownership of data solutions
• Bachelor’s degree in related field, relevant certifications, or equivalent proven expertise

Preferred

• 5-7 years of experience in SQL
• 5-7 years of experience in data analytics
• Experience in Qlik and/or Power BI
• Microsoft SQL Server experience
• Background in steel or manufacturing environments

Steel Dynamics, Inc., and all affiliated entities are equal opportunity employers.