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)
Skills Required
- Bachelor's degree in computer science, information systems, data analytics, engineering, or a related technical field
- 3 or more years of experience designing and developing enterprise data, analytics, or business intelligence solutions
- Experience designing and developing data integration, ETL/ELT, and data warehousing solutions using Python and PySpark
- Experience with Microsoft Azure data services, Microsoft Fabric, or similar cloud data platforms, including Azure Data Factory, Azure Synapse, or Azure Data Lake Storage
- Strong analytical, problem-solving, and communication skills, with the ability to collaborate with business and technical teams
- Advanced SQL skills for building complex, well-tuned queries across diverse datasets
- Experience with DevOps, Git, and CI/CD
- Experience with Power BI, DAX, Power Query, and semantic models
- Experience using Azure GCC High for data ingestion, collection, and analysis
- Experience with Azure ML Studio, Azure Foundry, or AI-enabled tools
- Azure DP-600 or DP-700 certification
Howmet Aerospace Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Howmet Aerospace and has not been reviewed or approved by Howmet Aerospace.
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Retirement Support — Retirement contributions include an automatic employer contribution plus a strong dollar‑for‑dollar 401(k) match for eligible U.S. salaried employees, enhancing total compensation. Feedback highlights retirement benefits as a relative strength compared with many large manufacturers.
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Healthcare Strength — Core health coverage includes medical, dental, and vision insurance with HSA/FSA options, and feedback suggests the health plans are viewed positively. Health coverage is frequently characterized as solid and reliable.
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Fair & Transparent Compensation — Pay is considered decent or competitive in many roles and locations, with hourly positions often able to lift earnings through overtime. Feedback indicates salary ranges for common technical roles align with broader aerospace manufacturing markets.
Howmet Aerospace Insights
What We Do
Howmet Aerospace Inc., headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. The Company’s primary businesses focus on jet engine components, aerospace fastening systems, and titanium structural parts necessary for mission-critical performance and efficiency in aerospace and defense applications, as well as forged wheels for commercial transportation. With nearly 1,150 granted and pending patents, the Company’s differentiated technologies enable lighter, more fuel-efficient aircraft to operate with a lower carbon footprint.
