Howmet

Data Engineer

Whitehall, MI, United States

Live, first seen by us today

Pay: Pay not listedSimilar roles state $127K–$190K
Work setting: On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

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.

From the employer’s posting

Primary 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, 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.

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.

What you’ll bring

All qualifications

Core experience

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)

Preferred experience

Demonstrated experience using DevOps with GIT and CI/CD
Demonstrated experience using Power BI as well as DAX, Power Query, and Semantic models
Experience using the Azure GCC High environment for data ingestion, collection and analysis
Experience in Azure ML studio, Azure Foundry or AI enabled tools

Qualification wording

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)

Demonstrated experience using DevOps with GIT and CI/CD

Demonstrated experience using Power BI as well as DAX, Power Query, and Semantic models

Experience using the Azure GCC High environment for data ingestion, collection and analysis

Experience in Azure ML studio, Azure Foundry or AI enabled tools

Education & alternatives

Basic 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.

Apply at Howmet

Posting record

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Status in our records: Live
First seen by us: Nov 4, 2026today
Recorded sightings: 1
Reposted: once since Sep 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 6 and day 54.

From 10,782 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

Hiring record

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
Power Query
PySpark

Where the posting names them

- Implementing processes and systems to ensure data quality and optimal pipeline and model performance over time. - Providing business analysts with support for data model and query design/tuning for tools such as Power BI and Python scripts. Extensive interaction with functional and IT resources will be required making effective communication skills essential. The qualified candidate must be a self-starter capable of managing medium sized projects working either independently or participating in and/or leading a small team.

- 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)

- Collaborating closely with data scientists, data analysts, and IT counterparts to design the data pipelines required to fulfill the AI and analytical needs of a large manufacturing enterprise. - Modeling, building and optimizing complex scalable ETLs and data pipelines to grow and support on-premise and cloud based data warehouses and data lakes using SQL and Azure technologies. - Implementing processes and systems to ensure data quality and optimal pipeline and model performance over time.

- 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.

Preferred Qualifications - Demonstrated use of advanced SQL skills to build complex well-tuned queries to join and shape diverse datasets. - Demonstrated experience using DevOps with GIT and CI/CD

- 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.

- 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.

- Demonstrated experience using Power BI as well as DAX, Power Query, and Semantic models - Experience using the Azure GCC High environment for data ingestion, collection and analysis - Experience in Azure ML studio, Azure Foundry or AI enabled tools

- Experience using the Azure GCC High environment for data ingestion, collection and analysis - Experience in Azure ML studio, Azure Foundry or AI enabled tools - Accomplishment of Azure Certifications DP-600 (Fabric Analytics Engineer Associate) or (DP-700 (Fabric Data Engineer Associate)

- Experience in Azure ML studio, Azure Foundry or AI enabled tools - Accomplishment of Azure Certifications DP-600 (Fabric Analytics Engineer Associate) or (DP-700 (Fabric Data Engineer Associate)

- 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.

- Demonstrated experience using DevOps with GIT and CI/CD - Demonstrated experience using Power BI as well as DAX, Power Query, and Semantic models - Experience using the Azure GCC High environment for data ingestion, collection and analysis

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Howmet Aerospace seeks an experienced, driven, self-starter to fill the role of Data Engineer. Successful candidates will have strong capabilities and demonstrated success in the following areas:

Collaborating closely with data scientists, data analysts, and IT counterparts to design the data pipelines required to fulfill the AI and analytical needs of a large manufacturing enterprise.
Modeling, building and optimizing complex scalable ETLs and data pipelines to grow and support on-premise and cloud based data warehouses and data lakes using SQL and Azure technologies.
Implementing processes and systems to ensure data quality and optimal pipeline and model performance over time.
Providing business analysts with support for data model and query design/tuning for tools such as Power BI and Python scripts.

Extensive interaction with functional and IT resources will be required making effective communication skills essential. The qualified candidate must be a self-starter capable of managing medium sized projects working either independently or participating in and/or leading a small team.

Primary 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.

Basic 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.

Preferred Qualifications

Demonstrated use of advanced SQL skills to build complex well-tuned queries to join and shape diverse datasets.
Demonstrated experience using DevOps with GIT and CI/CD
Demonstrated experience using Power BI as well as DAX, Power Query, and Semantic models
Experience using the Azure GCC High environment for data ingestion, collection and analysis
Experience in Azure ML studio, Azure Foundry or AI enabled tools
Accomplishment of Azure Certifications DP-600 (Fabric Analytics Engineer Associate) or (DP-700 (Fabric Data Engineer Associate)

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