Senior Data AI Developer

Education & Experience


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


* 5 years of experience designing and developing enterprise data, analytics, or BI solutions.


* 3 years of hands-on experience developing Power BI enterprise reporting solutions.


* Experience in design and development of data integration, ETL/ELT, and data warehousing


* Experience with Microsoft Azure data services, Microsoft Fabric, or similar cloud data platforms.


* Experience developing AI-enabled applications using Python, Azure OpenAI, Large Language Models (LLMs), or machine learning technologies is preferred.


* Strong analytical, problem-solving, and communication skills, with the ability to collaborate effectively with business and technical teams.

Technical Skills

Data & Analytics


* Data Modeling


* Data Warehousing


* Data Lakehouse


* ETL/ELT


* SSIS, REST API's


* Azure Data Factory


* Azure Data Lake Storage (ADLS)


* Azure DevOps, Git, CI/CD


* Power BI


* DAX


* Power Query


* Semantic Models


* DevOps, Git, CI/CD

AI & Machine Learning


* Python


* scikit-learn


* Large Language Models (LLMs)


* Retrieval-Augmented Generation (RAG)


* ML frameworks (PyTorch, TensorFlow, scikit-learn)

Benefits/Salary:

The position includes competitive wages and a comprehensive benefits package available day one of hire, including health insurance (medical, dental, vision), excellent 401k matching program, paid holidays and vacation.

Howmet Aerospace curates a strong working environment through opportunities for career progression, community engagement activities, and flexible schedules contingent upon role and location.

The salary range for this position is $95-$120kWe are seeking a Senior Data & AI Developer to design, build, and support enterprise data, analytics, and AI solutions.

This role will develop scalable data pipelines, enterprise data models, Power BI solutions, and AI-enabled applications that transform business data into actionable insights and automation opportunities.

The ideal candidate combines strong data engineering and analytics skills with hands-on AI experience to identify business opportunities, develop proofs-of-concept, and deliver solutions using modern data and AI technologies.

Key Responsibilities

Data & Analytics


* 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 ERP, CRM, PLM, ...