We 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
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Design, develop, and support scalable Data Lake, Lakehouse, Data Warehouse, and AI-enabled data platforms across cloud and hybrid environments.
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Design and develop ETL/ELT pipelines using Azure Data Factory, Microsoft Fabric, or similar technologies.
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Design scalable data models and integration patterns to support enterprise analytics and AI initiatives.
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Establish event-driven, streaming, batch, and API-based integration patterns across enterprise systems.
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Build and maintain data integration pipelines for ERP, CRM, PLM, MES, and other enterprise applications.
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Implement data validation, monitoring, quality controls, and data governance best practices.
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Design, develop, and maintain enterprise Power BI reports, dashboards, and scorecards.
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Develop reusable semantic models, datasets, and data products that enable self-service analytics.
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Optimize Power BI performance, data refresh processes, and security, including Row-Level Security (RLS) and workspace governance.
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Collaborate with business stakeholders to define reporting requirements, KPIs, and analytics solutions.
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Optimize SQL queries and data processing performance to ensure scalable and efficient data solutions.
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Evaluate emerging data and AI technologies and recommend solutions that improve business processes and operational efficiency.
AI & Automation
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Evaluate emerging data and AI technologies and recommend solutions that improve business processes and operational efficiency.
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Partner with business stakeholders to identify, prioritize, and deliver AI use cases that improve productivity, decision-making, and operational efficiency.
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Integrate AI capabilities with enterprise applications and data platforms using APIs and Python.
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Create AI proofs-of-concept and transition successful solutions into production.
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Develop AI-powered solutions using Azure OpenAI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG).
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Design and implement AI agents and agentic workflows where appropriate.
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Establish best practices for AI security, governance, and responsible AI usage.
Education & Experience
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Bachelor’s degree in computer science, Information Systems, Data Analytics, Engineering, or a related technical field.
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5+ years of experience designing and developing enterprise data, analytics, or BI solutions.
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3+ years of hands-on experience developing Power BI enterprise reporting solutions.
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Experience in design and development of data integration, ETL/ELT, and data warehousing
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Experience with Microsoft Azure data services, Microsoft Fabric, or similar cloud data platforms.
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Experience developing AI-enabled applications using Python, Azure OpenAI, Large Language Models (LLMs), or machine learning technologies is preferred.
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Strong analytical, problem-solving, and communication skills, with the ability to collaborate effectively with business and technical teams.
Technical Skills
Data & Analytics
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Data Modeling
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Data Warehousing
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Data Lakehouse
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ETL/ELT
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SSIS, REST API’s
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Azure Data Factory
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Azure Data Lake Storage (ADLS)
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Azure DevOps, Git, CI/CD
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Power BI
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DAX
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Power Query
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Semantic Models
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DevOps, Git, CI/CD
AI & Machine Learning
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Python
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scikit-learn
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Large Language Models (LLMs)
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Retrieval-Augmented Generation (RAG)
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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-$120k