Sr. Data Engineer (Remote)

About the role

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.

Rula is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii.

About the Role

This role will enable analytics teams at Rula to leverage AI against internal data in a secure and compliant manner. As an individual contributor, you will partner with analytics, marketing, and product teams to understand their data needs and build the systems that allow AI applications to access trusted data at scale. You will help define the standards, infrastructure, and governance that power AI-driven experiences across the company, ensuring data remains reliable, secure, and easy to use. This role will have a direct impact on how Rula uses AI to improve decision-making and operational efficiency.

Required Qualifications

- 4+ years of experience in data engineering, software engineering, or a related field, including ownership of production data pipelines and systems.

- Strong proficiency in Python and SQL.

- Experience designing and maintaining scalable data pipelines, data models, and data platforms.

- Experience translating business requirements into technical designs and delivering solutions in partnership with technical and non-technical stakeholders.

- Experience independently driving projects from design through production deployment and operational support.

- Experience implementing data security, governance, or access control practices for sensitive data.

Preferred Qualifications

While having the preferred qualifications enhances your candidacy, having all of them is not mandatory. We encourage all interested applicants to apply, even those who may not meet every preferred requirement.

- Experience with large language models (LLMs), semantic layers, model context protocols (MCPs), or related technologies.

- Experience with cloud-based data platforms such as Snowflake, AWS, Spark, Kafka, Iceberg, or similar technologies.

- Experience using infrastructure-as-code tools such as Terraform.

- Experience working under HIPAA or other regulated environments.

- Experience designing data architectures that enable large language models (LLMs) to securely access and reason over enterprise data.