Remote Data Engineer: Scalable Pipelines & Cloud ETL

Insight Global; Irvine (CA); Remote; USD 150,000 - 190,000; Full time

Job summary

Insight Global in Southern California is seeking a Data Engineer to design and maintain scalable data pipelines and repositories to support enterprise data strategy. The role emphasizes robust data architecture and collaboration with stakeholders to define a clear data vision.

Responsibilities include building ETL processes for cloud environments, ensuring data integrity and security in healthcare contexts, and enabling analytics through accessible data.

Qualifications

• 7+ years of experience in a Data Engineer role
• Strong Cloud experience (prefers Microsoft Fabric but can have background in AWS, Azure, GCP)
• Familiarity with EDW (Enterprise Data Warehouse) concepts
• Expertise in building and managing repositories and scalable data pipelines
• Strong Python experience for data engineering and automation tasksHealthcare

Responsibilities

• Design, build, and maintain data repositories and pipelines to support enterprise data strategy.
• Collaborate with stakeholders to refine and execute a concrete vision for data architecture.
• Develop and optimize ETL processes for cloud-based environments.
• Ensure data integrity, security, and compliance within a healthcare context.
• Support analytics and reporting initiatives by enabling efficient data access.

Skills

Data engineering

Python

Cloud platforms

EDW concepts

Data pipelines

Data architecture

Job description

Insight Global in Southern California is seeking a Data Engineer to design and maintain scalable data pipelines and repositories to support enterprise data strategy. The role emphasizes robust data architecture and collaboration with stakeholders to define a clear data vision.

Responsibilities include building ETL processes for cloud environments, ensuring data integrity and security in healthcare contexts, and enabling analytics through accessible data.