Senior Analytics Engineer

Summary

Join Rula as a Staff Analytics Engineer and become a key architect of our critical data products, impacting patient engagement and clinical operations. You will leverage dbt, Redshift, and Looker to build scalable data models. This highly collaborative role involves partnering with data scientists, product managers, and operational leaders. You will translate complex questions into elegant data solutions, focusing on creating a clean, well-documented analytics layer. We are a mission-driven organization committed to improving mental healthcare. If you are passionate about building a robust analytics layer in a fast-paced environment, we encourage you to apply.

Requirements

• Hold a Bachelor’s degree in Computer Science or Data Science
• Have 3–5 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
• Possess advanced proficiency with dbt (Cloud or Core) and experience designing modular, well-documented transformation layers in a modern data stack
• Demonstrate strong SQL skills, with a deep understanding of data modeling best practices—particularly in a Kimball-style dimensional warehouse
• Have experience working with cloud data warehouses, especially Amazon Redshift, including performance tuning and query optimization
• Have hands-on experience with BI tools, preferably Looker, including explore and dashboard development and LookML configuration
• Possess a product mindset—focused on enabling others through clean, reusable data assets rather than one-off analyses

Responsibilities

• Work hands-on in dbt, Redshift, and Looker to 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 in a fast-moving, mission-driven environment

Preferred Qualifications

• Have experience building and maintaining a centralized semantic layer for a multi-team or multi-domain environment
• Have experience working in a healthcare or regulated data environment, with an understanding of HIPAA or PHI considerations in analytics
• Have exposure to event-based data models (e.g., user interaction or engagement logs) and translating them into reporting-friendly structures
• Be comfortable working in stakeholder-facing roles, helping non-technical teams frame data questions and self-serve from curated datasets
• Have experience contributing to data platform or data governance initiatives, such as metric standardization, data cataloging, or access management
• Have 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 : Start saving for your future
• 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 : Set up your workspace for success
• Quarterly department stipend : Fund team-building activities or in-person gatherings
• Wellness events and lunch & learns : Explore a variety of engaging topics
• Community and employee resource groups : Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all