Data Engineer

Subsidiary Steel Dynamics Overview 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 Overview We are seeking an experienced Data Engineer to join the Flat Roll Group IT team, which develops and maintains shared data systems across our network of flat roll steel manufacturing facilities. In this role, you will design and manage the data infrastructure — pipelines, databases, and reporting solutions — that drives decision-making across the Flat Roll Group. The right candidate brings strong SQL skills, a disciplined approach to data quality, and the ability to collaborate effectively with both technical teams and business stakeholders. Responsibilities 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 Qualifications Required 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.