Data Engineer - Global Manufacturing Digitalization

Siemens; Wendell (NC); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Smart Infrastructure Team

Job summary

Siemens, headquartered in Wendell, NC, is seeking an Associate Manufacturing Data Engineer to build and optimize data pipelines across its global manufacturing network. The role focuses on Snowflake-based data models, scalable analytics, and rigorous data quality practices.

You will collaborate with manufacturing and IT teams to deliver actionable insights and governance across the enterprise. Ideal candidates have a foundation in data engineering with SQL, Python, and dbt, plus experience in

Qualifications

• Bachelor’s degree in CS, Data Engineering, Software Engineering, Information Systems, Industrial Engineering, or related field
• 1+ years of experience in data engineering, analytics, software development, or related technical discipline
• Working knowledge of SQL demonstrated through coursework or experience
• Foundational understanding of data modeling, data warehousing, ETL/ELT
• Experience or familiarity with Python and data transformation techniques
• Understanding of data quality practices, testing methodologies, and troubleshooting
• Willingness to travel up to 20% worldwide
• Legally authorized to work in the United States without sponsorship

Responsibilities

• + Build and maintain data pipelines across global manufacturing network
• + Develop Snowflake data models, tables, and schemas for scalable reporting
• + Design, implement, and test data transformation logic using SQL, Python, dbt
• + Monitor and improve data quality with validation and troubleshooting
• + Develop reusable semantic and analytical models aligned with KPIs
• + Partner with manufacturing, operations, and technology teams to deliver data solutions
• + Support product traceability, process performance analysis, and analytics initiatives
• + Document pipelines, models, interfaces, and logic for governance and reuse
• + Translate business requirements into scalable data solutions and validate with stakeholders
• + Participate in continuous improvement of data architecture and performance

Skills

SQL

Python

Data modeling

Data warehousing

ETL/ELT

Data quality

Testing

Travel 20%

US work authorized

Education

Bachelor’s degree in CS/IT/Data Engineering or related field

Tools

Snowflake

dbt

Git

AWS

Power BI/Tableau/Grafana

Job description

**Job Family:** Electrification & Automation

**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