Data Engineer

Role Overview

Develop and maintain data pipelines, analytical datasets, and enterprise reporting models to support analytics, AI initiatives, manufacturing operations, and executive decision-making.

What You Will Do

Develop ETL/ELT pipelines, build and optimize Redshift data models, create Tableau-consumable datasets, integrate manufacturing and operational data sources, and support data quality and validation processes.

Why It Might Be a Fit

Collaborate with Analytics Engineers and business stakeholders to improve reporting accuracy and performance, and participate in GitLab-based development, testing, and code review activities.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Analytics, or related field
• 3-7 years of experience in Data Engineering
• Strong SQL and Python programming skills
• Experience with Redshift, Spark, Airflow, Kafka, MQTT, and cloud-based data architectures
• Experience supporting Tableau reporting environments and business intelligence solutions
• Understanding of dimensional modeling, data warehousing, and enterprise reporting architectures