Job Details

Data Engineer

Company Overview

SeAH Superalloy Technologies is building a world-class manufacturing facility in Temple, Texas, producing aerospace-grade nickel-based superalloys for investment casting and additive manufacturing. As part of SeAH Group's $150M U.S. greenfield investment, we're shaping the future of advanced manufacturing and establishing strong partnerships with industry leaders, suppliers, and communities.

Position Summary

We are seeking a highly skilled and proactive Data Engineer to lead and support the development and optimization of our analytics infrastructure. This role will focus on building scalable, secure, and maintainable data pipelines across enterprise systems like ERP, MES, SCADA, and WMS. The ideal candidate has a strong technical foundation in data engineering, exceptional problem-solving skills, and experience in both on-prem and cloud environments. This role will also involve the development of dashboards, visualization tools, and predictive analytics for use across operations, engineering, and executive leadership.

Key Responsibilities

Data Engineering & Pipeline Development:

• Design, build, and maintain robust, fault-tolerant data pipelines and ingestion workflows.
• Lead integration of key enterprise systems (ERP, MES, CMMS, SCADA, WMS).
• Optimize pipelines for performance, scalability, and long-term maintainability.
• Clean, transform, and augment raw industrial data to ensure accuracy and analytical value.

System Integration & API Management:

• Develop and maintain RESTful API connectivity for cross-platform communication.
• Work with structured and semi-structured data formats (SQL, CSV, PLC logs, etc.).
• Translate complex business requirements into scalable data architecture.

Visualization & Reporting:

• Create and maintain dashboards and reports using Power BI or similar tools.
• Automate report generation for predictive analytics, anomaly detection, and performance insights.
• Collaborate with stakeholders to customize visual outputs and provide decision-ready insights.

Data Collection, Governance & Security:

• Implement ETL processes and ensure proper data governance protocols.
• Conduct quality checks, monitor ingestion workflows, and enforce secure data handling practices.
• Perform backups and manage version control for code and reports.

Collaboration & Agile Operations:

• Participate in agile team meetings, code reviews, and sprint planning.
• Support internal teams with technical troubleshooting and training.
• Gather requirements directly from stakeholders to refine data strategies.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
• 5+ years of professional experience in data engineering, analytics, or a related technical role.
• Strong experience with REST APIs, microservices, and data pipeline orchestration.
• Proficient in SQL and scripting languages (Python, Bash, PowerShell).
• Experience with data warehousing, ETL design, and industrial datasets.
• Familiarity with on-prem and cloud environments.
• Excellent analytical, communication, and problem-solving skills.

Preferred/Bonus Skills

• Experience integrating data from PLCs or industrial protocols.
• Familiarity with Power BI, MES, or CMMS tools.
• Experience applying cybersecurity standards to data infrastructure.
• Knowledge of manufacturing environments, especially in metals or high-spec industries.