Senior Data Engineer

Robotics Technologies; Charlotte (NC); On-site; USD 89,000 - 126,000; Full time

Job summary

Robotics Technologies in Charlotte, NC seeks a Senior Data Engineer to design and build scalable data solutions. The role is onsite for a 12-month assignment with the potential for extension, focusing on data lakes/warehouses and modern pipelines using Java, Python, Spark, and Airflow.

You will implement ETL/ELT processes, data migration, transformation, and processing workflows as part of ongoing platform delivery across enterprise-scale data initiatives.

Responsibilities

• Design and develop scalable enterprise data solutions including data lakes and data warehouses.
• Build and maintain data pipelines and ETL/ELT processes to support reliable data integration.
• Create data integration solutions enabling end-to-end data movement across systems.
• Develop hands-on solutions using Java, Python, Apache Spark, and Airflow.
• Implement data migration, transformation, and processing workflows as part of platform delivery.

Tools

Java

Python

Apache Spark

Airflow

ETL/ELT

Cloud data tools

Job description

Robotics Technologies is hiring a Senior Data Engineer in Charlotte, NC on an onsite basis. This assignment is planned for 12 months with the possibility of extension, offering an opportunity to work on scalable, enterprise-grade data engineering initiatives. The role supports data platform efforts that include data lakes and data warehouses, with hands-on development across modern pipeline and processing tooling. Compensation is USD 78 per hour.

What you’ll do

• Design and develop scalable enterprise data solutions, including data lakes and data warehouses.
• Build and maintain data pipelines and ETL/ELT processes to support reliable data integration.
• Create data integration solutions that enable end-to-end data movement and usability across systems.
• Develop hands-on solutions using Java, Python, Apache Spark, and Airflow.
• Implement data migration, transformation, and processing workflows as part of ongoing platform delivery.

Core technologies

• Java
• Python
• Apache Spark
• Airflow
• ETL/ELT
• Cloud data engineering tools