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Staff Analytics Engineer (Remote)

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We believe that mental health is just as important as physical health. We recognize that mental health issues can be complex and multifaceted, and we are dedicated to treating the whole person, not just the symptoms.

We aim to create a world where mental health is no longer stigmatized or marginalized, but rather is embraced as an integral part of one's overall well-being.

We believe that by providing quality care that is both evidence-based and compassionate, we can empower individuals to take charge of their mental health and achieve their full potential. We are passionate about making a positive impact on the lives of those struggling with mental health issues and we strive to be a force for positive change in the field of mental healthcare.

At Rula, Staff 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, and Looker 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.

Required Qualifications

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.

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).

We're serious about your well-being! As part of our team, full-time employees receive:

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

Our team

We believe that diversity, equity, and inclusion are fundamental to our mission of making mental healthcare work for everyone. We are dedicated to having a culture of inclusion that will support our employees in feeling safe, seen, heard, and valued.

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What You Should Know About Staff Analytics Engineer (Remote), Rula

At Rula, we are on a mission to transform mental healthcare by emphasizing its importance alongside physical health. As a Staff Analytics Engineer, you'll play a crucial role in our journey, crafting robust data products that elevate patient engagement and clinical operations. Imagine working with cutting-edge tools like dbt, Redshift, and Looker to create scalable data models that drive insightful decision-making. In this remote position, you'll collaborate with data scientists, product managers, and operational leaders to address intricate questions with innovative data solutions. If you're passionate about establishing a well-documented analytics layer and contributing to an environment that prioritizes mental health, you're the perfect fit for our team. We value your expertise, whether it's your deep SQL skills or your experience working in diverse data environments. Join us in our pursuit of empowering individuals to take charge of their mental health while enjoying the benefits of a supportive workplace that understands the importance of work-life balance and well-being.

Frequently Asked Questions (FAQs) for Staff Analytics Engineer (Remote) Role at Rula

What are the responsibilities of a Staff Analytics Engineer at Rula?

As a Staff Analytics Engineer at Rula, you'll be responsible for designing and implementing trusted, scalable data models that inform decision-making within the organization. You'll work closely with cross-functional teams to address data-related inquiries, ensuring that analytics solutions are robust and user-friendly. Additionally, your work will include leveraging tools like dbt and Looker to create clean, well-documented data transformations.