Staff Analytics Engineer

Summary

Join Rula as a Staff Analytics Engineer and become an architect of our critical data products, driving insights for patient engagement and clinical operations. You will leverage dbt, Redshift, and Looker to design scalable data models. This highly cross-functional role involves collaboration with data scientists, product managers, and operational leaders. You will build a clean, well-documented analytics layer in a fast-paced environment. A Bachelor's degree in Computer Science or Data Science and 5+ years of relevant experience are required. We offer a 100% remote work environment (US-based only), attractive pay and benefits, and a commitment to employee well-being.

Requirements

• Bachelor’s degree in Computer Science or Data Science
• 5+ years of experience in analytics engineering, data engineering, or business intelligence roles, with a proven track record of delivering high-quality data models and reporting assets
• Advanced proficiency with dbt (Cloud or Core) and experience designing modular, well-documented transformation layers in a modern data stack
• Strong SQL skills, with a deep understanding of data modeling best practices—particularly in a Kimball-style dimensional warehouse
• Experience working with cloud data warehouses, especially Amazon Redshift, including performance tuning and query optimization
• Hands-on experience with BI tools, preferably Looker, including explore and dashboard development and LookML configuration
• A product mindset—you're focused on enabling others through clean, reusable data assets rather than one-off analyses

Responsibilities

• Design trusted, scalable data models that drive decision-making across the company
• Partner with data scientists, product managers, and operational leaders to turn complex questions into elegant data solutions
• Build a clean, well-documented analytics layer

Preferred Qualifications

• Experience building and maintaining a centralized semantic layer for a multi-team or multi-domain environment
• Experience working in a healthcare or regulated data environment, with an understanding of HIPAA or PHI considerations in analytics
• Exposure to event-based data models (e.g., user interaction or engagement logs) and translating them into reporting-friendly structures
• Comfort working in stakeholder-facing roles, helping non-technical teams frame data questions and self-serve from curated datasets
• Experience contributing to data platform or data governance initiatives, such as metric standardization, data cataloging, or access management
• Familiarity with CI/CD practices in analytics engineering, including dbt Cloud jobs, testing frameworks, and version control (e.g., Git)

Benefits

• 100% remote work environment (US-based only)
• Working hours to support a healthy work-life balance, ensuring you can meet both professional and personal commitments
• Attractive pay and benefits
• Full transparency of pay ranges regardless of where you live in the United States
• Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA
• 401(k) plan access
• Generous time-off policies: Including 2 company-wide shutdown weeks each year for self-care (for most employees)
• Paid parental leave: Available for all parents, including birthing, non-birthing, adopting, and fostering
• Employee Assistance Program (EAP): Support for your mental and physical health
• New hire home office stipend
• Quarterly department stipend: Fund team-building activities or in-person gatherings
• Wellness events and lunch & learns
• Community and employee resource groups: Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all