Data Engineer: AI-Driven Data Pipelines & Azure Expert

Howmet Aerospace Inc.; Whitehall Township (MI); On-site; USD 90,000 - 140,000; Full time

Benefits offered by this job

Medical benefits

401(k) plan with match

Paid holidays and vacation

Parental leave

Life and disability insurance

Tuition assistance

Employee Assistance Program (EAP)

Job summary

Howmet Aerospace Inc. seeks an experienced Data Engineer to design and implement scalable data platforms across cloud and hybrid environments.

You will collaborate with data scientists, analysts, and IT to deliver robust pipelines, data lakes, and warehouses supporting AI and analytics initiatives. You will optimize ETL/ELT processes using Azure Data Factory, Fabric, and related tools, build semantic data models, and enable self-service analytics with Power BI.

Qualifications

• Bachelor’s degree in computer science, Information Systems, Data Analytics, Engineering, or a related technical field.
• 3+ years of experience designing and developing enterprise data, analytics, or BI solutions.
• Experience in design and development of data integration, ETL/ELT, and data warehousing using Python and PySpark
• Experience with Microsoft Azure data services, Microsoft Fabric, or similar cloud data platforms Azure Data Factory/Synapse/Fabric Azure Data Lake Storage (ADLS)
• Strong analytical, problem-solving, and communication skills, with the ability to collaborate effectively 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 enterprise 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 that enable self-service analytics.
• Optimize Power BI performance, data refresh processes, and security, including Row-Level Security (RLS) and workspace governance.
• Collaborate with business stakeholders to define reporting requirements, KPIs, and analytics solutions.
• Optimize SQL queries and data processing performance to ensure scalable and efficient data solutions.
• Evaluate emerging data and AI technologies and recommend solutions that improve business processes and operational efficiency.

Skills

Analytical skills

Problem solving

Communication skills

Team collaboration

Education

Bachelor’s degree in computer science or related field

Tools

Python

PySpark

Azure Data Factory

Azure Synapse

Azure Data Lake Storage

Microsoft Fabric

Job description

Howmet Aerospace Inc. seeks an experienced Data Engineer to design and implement scalable data platforms across cloud and hybrid environments.

You will collaborate with data scientists, analysts, and IT to deliver robust pipelines, data lakes, and warehouses supporting AI and analytics initiatives. You will optimize ETL/ELT processes using Azure Data Factory, Fabric, and related tools, build semantic data models, and enable self-service analytics with Power BI.