Sr. Data Engineer (Remote)

Rula is dedicated to providing evidence-based, compassionate mental healthcare and improving mental health outcomes. The Senior Data Engineer will enable analytics teams to securely and compliantly leverage AI against internal data by building scalable systems, defining data standards and governance, and supporting AI-driven decision-making and operational efficiency.

Responsibilities:

• 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

Requirements:

• 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
• 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
• Experience in influencing technical direction, establishing engineering standards, and mentoring other engineers