Full-Time Sr. Analytics Engineer

At Rula, Sr Analytics Engineers are the architects behind our most critical data products—powering insights for everything from patient engagement to clinical operations. You’ll work hands-on in dbt, Redshift, Looker and Hex to design trusted, scalable data models that drive decision-making across the company. This is a highly cross-functional role where you’ll partner with data scientists, product managers, and operational leaders to turn complex questions into elegant data solutions.

If you're excited about building a clean, well-documented analytics layer in a fast-moving, mission-driven environment, we’d love to work with you.

• 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.

• 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).

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