On-Site Data Engineer: AI-Driven Data Pipelines

Howmet Aerospace Inc.; Wichita Falls (TX); On-site; USD 85,000 - 120,000; Full time

Benefits offered by this job

Health, dental, vision benefits

401(k) retirement plan with company 
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Paid holidays and vacation

Parental leave and adoption assistance

Life insurance and disability coverage

Tuition Assistance and professional 
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Employee Assistance Program

Job summary

Howmet Aerospace seeks a Data Engineer to design and operate scalable data platforms and pipelines across cloud and on-prem environments. You will collaborate with data scientists, analysts, and IT to meet AI and analytics needs for a large manufacturing enterprise.

The role emphasizes ETL/ELT development, data modeling, governance, and performance optimization, including Power BI security and data refresh. A strong technical foundation and communication skills are essential.

Qualifications

• Bachelor’s degree in a technical field.
• 3+ years designing and developing enterprise data, analytics, or BI solutions.
• Experience in data integration, ETL/ELT, and data warehousing using Python and PySpark.
• Experience with Microsoft Azure data services, Fabric, or similar cloud data platforms (Azure Data Factory/Synapse/Fabric; ADLS).
• Strong analytical, problem-solving, and communication skills, with the ability to collaborate with business and technical teams.

Responsibilities

• Design, develop, and support scalable Data Lake, Lakehouse, Data Warehouse, and AI-enabled data platforms across cloud and hybrid environments.
• Design and develop ETL/ELT pipelines using Azure Data Factory, Microsoft Fabric, or similar technologies.
• Design scalable data models and integration patterns to support analytics and AI initiatives.
• Establish event-driven, streaming, batch, and API-based integration patterns across enterprise systems.
• Build and maintain data integration pipelines for plant, business unit, or enterprise applications.
• Implement data validation, monitoring, quality controls, and data governance best practices.
• Develop reusable semantic models, datasets, and data products for self-service analytics.
• Optimize Power BI performance, data refresh processes, and security (Row-Level Security, workspace governance).
• Collaborate with stakeholders to define reporting requirements, KPIs, and analytics solutions.
• Optimize SQL queries and data processing performance for scalable solutions.
• Evaluate emerging data and AI technologies and recommend solutions to improve processes.

Skills

Analytical skills

Python

PySpark

SQL

Education

Bachelor’s degree in computer science, Information Systems, Data Analytics, Engineering, or a related technical field

Tools

Azure Data Factory

Synapse

Azure Data Lake Storage

Power BI

DAX

Power Query

Job description

Howmet Aerospace seeks a Data Engineer to design and operate scalable data platforms and pipelines across cloud and on-prem environments. You will collaborate with data scientists, analysts, and IT to meet AI and analytics needs for a large manufacturing enterprise.

The role emphasizes ETL/ELT development, data modeling, governance, and performance optimization, including Power BI security and data refresh. A strong technical foundation and communication skills are essential.