Data Engineer
Indexed description
Location Position can be executed from any of the following Steel Dynamics offices. This position is an onsite position.
- Butler, IN
- Columbus, MS
- Terre Haute, IN
- Pittsburgh, PA
- Sinton, TX
- This position requires the candidate to work onsite and is not eligible for remote work.
- 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
- 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
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