Pay
Lower than most similar jobs
$95K–$120K against $166K–$240K, the middle half of what similar US postings state.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Senior Data AI Developer
Torrance, CA, United States
Live, first seen by us 47 days ago- Pay
$95,000–120,000/yearAnnual period assumed — pay source
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
Read the full posting- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- Work authorization
- US citizens or permanent residents only
This position is subject to the International Traffic in Arms Regulations (ITAR) which requires US person status
- Eligibility
Visa sponsorship is not available for this position; — eligibility source
Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position;
Read the full posting
What you’ll work on
Full postingBuild ETL/ELT pipelines using Azure Data Factory, Microsoft Fabric, or similar
Develop and maintain enterprise Power BI reports, dashboards, and scorecards
Build data integrations for ERP, CRM, PLM, MES, and other enterprise apps
Develop Azure OpenAI, LLM, and RAG solutions, including AI agents
Create AI proofs-of-concept and move successful ones into production
From the employer’s posting
Design and develop ETL/ELT pipelines using Azure Data Factory, Microsoft Fabric, or similar technologies.
Design, develop, and maintain enterprise Power BI reports, dashboards, and scorecards.
Build and maintain data integration pipelines for ERP, CRM, PLM, MES, and other enterprise applications.
Develop AI-powered solutions using Azure OpenAI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG).
Create AI proofs-of-concept and transition successful solutions into production.
What you’ll bring
All qualificationsCore 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.
Preferred experience
- Experience developing AI-enabled applications using Python, Azure OpenAI, Large Language Models (LLMs), or machine learning technologies is preferred.
Qualification wording
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.
Education & alternatives
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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 18, 202647 days ago
- Recorded sightings
- 190
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 47
Similar jobs usually come down between day 6 and day 69.
From 4,339 similar postings that came down. Coming down is not always a hire.
Howmet is hiring
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- 20% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Azure
- Power BI
- PyTorch
- scikit-learn
- TensorFlow
- Power Query
Where the posting names them
- 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.
- 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.
AI & Machine Learning - Python - scikit-learn
- 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.
- 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.
- 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.
- 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.
- SSIS, REST API’s - Azure Data Factory - Azure Data Lake Storage (ADLS)
- Azure Data Factory - Azure Data Lake Storage (ADLS) - Azure DevOps, Git, CI/CD
- Azure Data Lake Storage (ADLS) - Azure DevOps, Git, CI/CD - Power BI
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.
- 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.
- 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.
- 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
- Azure DevOps, Git, CI/CD - Power BI - DAX
- Retrieval-Augmented Generation (RAG) - ML frameworks (PyTorch, TensorFlow, scikit-learn) Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position;
- Python - scikit-learn - Large Language Models (LLMs)
- DAX - Power Query - Semantic Models
Your next step
Complete your application on fa-exty-saasfaprod1.fa.ocs.oraclecloud.com. The employer’s form will show what is required.
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Already applied? Track this application
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
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.
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)
Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position;
This position is subject to the International Traffic in Arms Regulations (ITAR) which requires U.S. person status. ITAR defines U.S. person as an U.S. Citizen, U.S. Permanent Resident (i.e. 'Green Card Holder'), Political Asylee, or Refugee.
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
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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
- Location & working pattern
Torrance, CA, United States
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.
- Work authorization
- ML frameworks (PyTorch, TensorFlow, scikit-learn) Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position; This position is subject to the International Traffic in Arms Regulations (ITAR) which requires U.S. person status. ITAR defines U.S. person as an U.S. Citizen, U.S. Permanent Resident (i.e. 'Green Card Holder'), Political Asylee, or Refugee. Benefits/Salary: