Data Engineer II

About this role

BlueLabs seeks an experienced Data Engineer II to lead the modernization of its data platform, focusing on Kimball-style dimensional modeling, data quality standards, and migration of legacy systems to a scalable cloud architecture. You'll work closely with leadership to drive platform vision into execution while mentoring junior engineers and establishing best practices across the organization.

What you'll do

• Design and implement Kimball-style dimensional models and star schema architectures to modernize legacy data systems
• Own data quality standards by identifying, documenting, and remediating data issues proactively across the platform
• Build and maintain production-grade data pipelines with emphasis on reliability, observability, and maintainability
• Develop and champion data modeling, transformation, and testing best practices across the engineering team
• Extract and codify business logic from existing systems into well-documented, cloud-agnostic transformation layers
• Mentor Data Engineer I team members and provide technical guidance on architectural decisions

What they're looking for

• Dimensional modeling and Kimball methodology
• SQL and Python (production-quality code)
• dbt (advanced features including custom tests, macros, packages)
• Snowflake and Redshift
• Data warehouse architecture and migration
• Data quality frameworks and validation pipelines
• Technical communication with engineering and non-technical stakeholders
• Cross-functional collaboration

Benefits

• Competitive salary: $95,000–$125,000
• Premier health insurance, 401K matching, and unlimited vacation
• 15 weeks paid parental leave and paid sick/personal/volunteer leave
• Professional development stipend and tuition reimbursement
• Flexible remote work (U.S.-based), flexible hours, and supportive culture