Manufacturing Data Engineer 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.
You'll Benefit FromSiemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.html
The pay range for this position is $83,966 - $143,942 annually with a target incentive of 5% of the base salary. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location.
