Remote Lead Data Engineer: Data Warehouse & Pipelines

American Red Cross; Virginia Beach (VA); Remote; USD 145,000 - 160,000; Full time

Benefits offered by this job

Medical, Dental Vision plans

Health Spending / Flexible Spending

Job summary

The American Red Cross is seeking a Lead Data Engineer to join its Enterprise Data Analytics team. You will modernize data architecture, build scalable data pipelines, and enable faster analytics across multiple verticals, while ensuring data quality and governance.

This fully remote role requires strong SQL, Python, and AWS Redshift expertise and a passion for data-driven decision making. You will mentor junior staff, collaborate with analytics teams, and contribute to the deployment and

Qualifications

• Bachelor's degree in CS, Engineering, Mathematics or related field.
• 10+ years in data engineering, BI, or related field.

Responsibilities

• Improve data models for BI tools to enable data-driven decisions.
• Build scalable data integrations, storage, and reporting solutions.
• Design, develop and test data integration pipelines (ETL/ELT).
• Manage automated deployments with Git pipelines and version control.
• Collaborate across teams to ensure reliable, performant pipelines.
• Mentor teammates through code reviews and pair programming.

Skills

SQL querying

Python

AWS Redshift

Data warehousing

DBT

ETL/ELT

APIs integration

Education

Bachelor's degree in Computer Science/Engineering/Math

10+ years data engineering experience

Tools

Git

Artifactory

DBT

Job description

The American Red Cross is seeking a Lead Data Engineer to join its Enterprise Data Analytics team. You will modernize data architecture, build scalable data pipelines, and enable faster analytics across multiple verticals, while ensuring data quality and governance.

This fully remote role requires strong SQL, Python, and AWS Redshift expertise and a passion for data-driven decision making. You will mentor junior staff, collaborate with analytics teams, and contribute to the deployment and