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 Steel Dynamics will not provide sponsorship for employment visa status now or in the future for this role. This includes, but is not limited to, F-1 STEM OPT , H-1B, TN, E-3, O-1, or any other work authorization that requires company sponsorship or the submission of immigration‑related documentation to a government agency. Individuals who are found to require sponsorship now or in the future will be removed from consideration for employment for this position. This position requires the candidate to work onsite and is not eligible for remote work. 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 #J-18808-Ljbffr Steel-Dynamic