Data Engineer

Steel Dynamics, Inc; Fort Wayne (IN); On-site; USD 80,000 - 100,000; Full time

Job summary

Steel Dynamics, Inc. is actively seeking a Data Engineer to contribute to our Flat Roll Group IT team. This role is crucial for managing the data infrastructure that supports decision-making across our steel manufacturing network. The ideal candidate should have strong SQL skills and experience in data engineering.

This onsite position may be executed from various Steel Dynamics offices, and requires collaboration with technical teams and business stakeholders.

Qualifications

• Proven experience in data engineering, analytics engineering, or similar role.
• Strong SQL proficiency, including complex queries, views, stored procedures, and triggers.
• Hands-on experience with cloud data platforms, data warehouses, or data lakes.

Responsibilities

• Develop and maintain SQL queries, views, stored procedures, and triggers.
• Model and manage structured data to support analytics and reporting.
• Build and maintain data pipelines and ETL/ELT processes.

Skills

SQL proficiency

Data quality monitoring

Data modeling

Data pipeline maintenance

Problem analysis

Communication skills

Education

Bachelor’s degree in related field

Tools

Qlik

Power BI

Microsoft SQL Server

Job description

Location

The 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.

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

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

EEO Statement

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