Data Engineer

Fort Wayne, IN, US • Posted 14 days ago • Updated 10 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Employment Authorization
  • Immigration
  • Documentation
  • Network
  • Database
  • Decision-making
  • Workflow
  • Collaboration
  • Data Flow
  • Data Governance
  • Regulatory Compliance
  • Management
  • Data Engineering
  • Stored Procedures
  • Relational Databases
  • Data Modeling
  • ROOT
  • Cloud Computing
  • Data Warehouse
  • Extract
  • Transform
  • Load
  • ELT
  • Analytics
  • Reporting
  • Business Intelligence
  • Use Cases
  • Data Quality
  • Communication
  • Accountability
  • SQL
  • Data Analysis
  • Microsoft Power BI
  • Microsoft SQL Server
  • Manufacturing
  • Dynamics

Summary

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.

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
  • 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

Preferred
  • Background in steel or manufacturing environments

Steel Dynamics, Inc., and all affiliated entities are equal opportunity employers.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 80183375
  • Position Id: e510efc8c7f5926336296dbfa90512eb
  • Posted 14 days ago
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