Sr. Data Engineer (Remote)
Rula is hiring a Sr. Data Engineer (Remote) for a remote role open to applicants in United States. It pays $152k-$186k a year and Level rates it ; you can apply on Rula.
Level's read on this job
- Works on AI ●●●○ is how Level rates this data engineer role: the daily work is on AI products, without building the model.
- The listed pay starts close to the typical data engineer posting on Level.
- The posting lists this role as remote.
- Tools and skills the posting cites include Python, SQL and LLMs.
- Level lists 35 other open roles at Rula.
AI in this role
Build data pipelines and infrastructure enabling analytics teams to leverage AI securely against internal health data.
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.
Experience in influencing technical direction, establishing engineering standards, and mentoring other engineers.
We're serious about your well-being! As part of our team, full-time employees receive:
100% remote work environment: Working hours to support a healthy work-life balance, ensuring you can meet both professional and personal commitments (must be based in United States, currently not hiring in Hawaii)
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): Supporting your mental and physical health
Quarterly department stipend: Fun team-building activities or in-person gatherings
Community and employee resource groups: Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all
Home office stipend: New hire home office stipend & $50 monthly stipend to help cover internet or cell phone expenses
Wellness at Rula program: Year-round wellness initiatives and a $50/month wellness stipend
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.
How we rate this
Sr. Data Engineer (Remote) at Rula rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data engineer jobs at this level
Pay
- This job starts at
- $152k
- Typical data engineer job
- $150k
This posting starts close to the typical data engineer job. See data engineer jobs
Questions you could be asked
- What's a project where you used Python hands-on?
- Walk me through how you've used SQL in your day-to-day work.
- What are the limits of LLMs that you've run into, and how did you work around them?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: Python, SQL, and LLMs. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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