Data Engineer: Design Global Pipelines & Analytics

3M Vietnam; Indiana; On-site; USD 90,000 - 130,000; Full time

Job summary

3M is seeking a Data Engineer to design, develop, and maintain robust data pipelines and ETL/ELT workflows across our analytics platforms. You will build trusted data products, curate datasets, and support data lake and data warehouse configurations to enable reliable analytics.

You will apply DevOps practices, ensure data quality, monitor pipeline performance, and collaborate with global teams to implement scalable data solutions using SQL, Python, Databricks, Snowflake, AWS, and Power BI.

Qualifications

• Bachelor's degree or higher (completed and verified prior to start)
• 5+ years of experience in data engineering, data warehouse development, or analytics platform support
• Experience with SQL, Python, ETL/ELT development, data modeling, and data quality practices
• Databricks experience preferred, including notebook development, data engineering workflows, or Lakehouse architecture
• SAP HANA & SAP ERP knowledge helpful
• Experience with data platforms and tools such as Snowflake, AWS, Power BI, or similar technologies

Responsibilities

• Design, develop, and maintain data pipelines, ETL/ELT workflows, and data integration solutions.
• Build and support trusted data products, including curated datasets, reusable data assets, semantic layers, and analytics-ready data models.
• Support data lake, data warehouse, and analytics platform configuration, optimization, and operations.
• Apply DevOps practices, including CI/CD, version control, automated testing, and deployment automation for data engineering solutions.
• Monitor data quality, pipeline performance, platform reliability, and production support processes.

Skills

SQL

Python

ETL/ELT development

Data modeling

Data quality practices

Databricks

Education

Bachelor's degree or higher

Tools

Snowflake

AWS

Power BI

SAP HANA

SAP ERP

Job description

3M is seeking a Data Engineer to design, develop, and maintain robust data pipelines and ETL/ELT workflows across our analytics platforms. You will build trusted data products, curate datasets, and support data lake and data warehouse configurations to enable reliable analytics.

You will apply DevOps practices, ensure data quality, monitor pipeline performance, and collaborate with global teams to implement scalable data solutions using SQL, Python, Databricks, Snowflake, AWS, and Power BI.