📋 Description

• Design, build, deploy, and maintain scalable data pipelines and data products using BigQuery, dbt
• Partner with Product, Engineering, and client teams to translate business requirements into
• Identify patterns across client work and turn them into reusable models and frameworks.
• Develop reusable dbt models, Python utilities, and configuration-driven solutions.
• Strengthen data quality with automated testing, validation, reconciliation, monitoring, and
• Improve pipelines and architecture for scalability, performance, and cost efficiency.

🎯 Requirements

• Bachelor’s in CS/IT/Engineering or equivalent practical experience.
• 5+ years in data/analytics engineering, data architecture, or related field.
• Proven experience designing and delivering production data pipelines and models.
• Advanced SQL and BigQuery; strong relational/analytical DB concepts.
• Intermediate-advanced Python.
• Strong dbt experience: modeling, testing, documentation, reusable patterns.

🎁 Benefits

• Remote-first culture, unlimited PTO, flexible schedules.
• 100% paid parental leave, 401(k) matching, comprehensive benefits.
• Sponsorship unavailable; remote work with hubs in LA/Chicago/NY.
• Annual salary $105,000-$135,000; strong compensation package.