Data Engineer - Global Manufacturing Digitalization

Siemens • Wendell, NC • 1h ago

Job Family: Electrification & Automation

Req ID: 527180

Manufacturing Data Engineer

Here at Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds. Improving how we live, work, and move today and for the next generation! We know that the only way a business thrives is if our people are thriving. That's why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you?

Transform the everyday with us!

About Electrification & Automation

Headquartered in Wendell, NC, the Electrification & Automation (E&A) Business Unit offers the full range of energy distribution systems and solutions for all markets and through all sales channels. We provide reliable power distribution grids of today while investing in our Future Grids portfolio to create the power distribution grid of the future.

We are looking for an Associate Manufacturing Data Engineer. This position will be based in Wendell, NC.

You'll make an impact by:

Building and maintaining data pipelines for our global manufacturing network that collect, transform, and integrate manufacturing and operational data from multiple source systems.

Developing cloud-based data models, tables, and schemas in Snowflake that support scalable reporting, analytics, and manufacturing insights.

Designing, implementing, and testing data transformation logic using SQL, Python, dbt, and modern data engineering best practices.

Monitoring and improving data quality through validation, troubleshooting, testing, and collaboration with source-system owners.

Supporting the development of reusable semantic and analytical models that align technical data structures with business definitions, KPIs, and performance metrics.

Partnering with manufacturing, operations, and technology teams to deliver data solutions that improve production transparency and operational decision-making.

Contributing to product traceability, process performance analysis, and manufacturing analytics initiatives.

Documenting data pipelines, models, interfaces, and transformation logic to support maintainability, governance, and global reuse.

Translating business requirements into practical, scalable data solutions while validating results with stakeholders.

Participating in continuous improvement efforts focused on data architecture, performance optimization, reliability, and governance.

You'll win us over by having the following qualifications:

Basic Qualifications:

Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Systems, Industrial Engineering, or a related technical field; equivalent practical experience will also be considered.

1+ years of experience in data engineering, analytics, software development, or a related technical discipline.

Working knowledge of SQL demonstrated through academic coursework, internships, projects, or professional experience.

Foundational understanding of data modeling, data warehousing, ETL/ELT processes, and modern data engineering concepts.

Experience or familiarity with Python and data transformation techniques.

Understanding of data quality practices, testing methodologies, and troubleshooting approaches.

Strong analytical, problem-solving, and critical-thinking abilities.

Willingness and ability to travel up to 20% worldwide to support global manufacturing facilities.

Legally authorized to work in the United States on a continual and permanent basis without company sponsorship.

Preferred Qualifications:

Ability to communicate effectively and collaborate with both technical and business stakeholders.

Desire to learn cloud-based data platforms, manufacturing processes, and modern analytics technologies.

Strong organizational skills with the ability to document technical solutions and processes clearly.

Experience with Snowflake or another cloud-based data warehouse platform.

Familiarity with dbt, version control tools such as Git, and automated testing frameworks for data transformations.

Experience with AWS services, including cloud-based data ingestion, storage, or processing solutions.

Familiarity with AWS IoT, Industrial IoT, or manufacturing data environments.

Knowledge of Kafka, event-driven architectures, or real-time streaming data pipelines.

Experience with Power BI, Grafana, Tableau, or other business intelligence and visualization tools.

Understanding of semantic models, dimensional modeling, governed analytics, or KPI frameworks.

Exposure to manufacturing analytics, production systems, or operational technology environments.

Internship, co-op, academic project, or early-career experience involving data engineering or analytics solutions.

Spanish language proficiency.

About Siemens

We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to sustainable transportation as well as advanced healthcare, we create technology with purpose, adding real value for customers.

Our Commitment to Equity and Inclusion in Our Diverse Global Workforce

We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us.

$83,966 $143,942 5%

Organization: Smart Infrastructure

Job Type: Full-time

Category: Information Technology

Siemens

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