Howmet Aerospace

Senior Data AI Developer

Howmet Aerospace$95K — $120K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science, Information Systems, Data Analytics, Engineering, or related field.
  • 5+ years of experience in enterprise data, analytics, or BI solutions.
  • 3+ years of hands-on experience with Power BI enterprise reporting solutions.
  • Experience in data integration, ETL/ELT, and data warehousing.
  • Familiarity with Microsoft Azure data services and cloud data platforms.
  • Experience developing AI-enabled applications using Python, Azure OpenAI, or machine learning technologies preferred.
  • Excellent analytical, problem-solving, and communication skills.

Responsibilities

  • Design, develop, and support scalable Data Lake, Data Warehouse, and AI-enabled data platforms.
  • Create ETL/ELT pipelines using Azure Data Factory or similar technologies.
  • Establish data models and integration patterns for enterprise analytics and AI.
  • Build and maintain data integration pipelines for various enterprise applications.
  • Implement data validation and quality control measures, ensuring data governance best practices.
  • Develop and optimize Power BI reports, dashboards, and semantic models for self-service analytics.
  • Partner with stakeholders to deliver AI use cases that enhance operational efficiency.

Benefits

  • Competitive wages with a comprehensive benefits package from day one.
  • Health insurance options including medical, dental, and vision.
  • Strong 401k matching program.
  • Paid holidays and vacation.
  • Opportunities for career progression and community engagement activities.
  • Flexible schedules based on role and location.
Full Job Description
Responsibilities

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
  • 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, MES, and other enterprise applications.
  • Implement data validation, monitoring, quality controls, and data governance best practices.
  • Design, develop, and maintain enterprise Power BI reports, dashboards, and scorecards.
  • 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.


AI & Automation
  • Evaluate emerging data and AI technologies and recommend solutions that improve business processes and operational efficiency.
  • Partner with business stakeholders to identify, prioritize, and deliver AI use cases that improve productivity, decision-making, and operational efficiency.
  • Integrate AI capabilities with enterprise applications and data platforms using APIs and Python.
  • Create AI proofs-of-concept and transition successful solutions into production.
  • Develop AI-powered solutions using Azure OpenAI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG).
  • Design and implement AI agents and agentic workflows where appropriate.
  • Establish best practices for AI security, governance, and responsible AI usage.


Qualifications

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-$120k

About Howmet Aerospace

Howmet Aerospace is a global leader in engineered metal products. The company provides aerospace components, such as jet engine and industrial gas turbine components, as well as forged wheels for commercial transportation. Howmet Aerospace has a strong focus on research and development, and has been awarded numerous patents for its innovative products and processes. The company has a global presence, with operations in North America, Europe, and Asia. Howmet Aerospace was formerly known as Arconic Inc. and changed its name to Howmet Aerospace Inc. in April 2020.
Learn more about Howmet Aerospace
Size
19,900 employees
Market Cap
$16 billion
Industry
Net Income
$261 million
5 Year Trend
-16.7%
Revenue
$5.2 billion
NASDAQ

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