Sr. Data Engineer

At the company, we are a remote-first company that believes 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.

About the Role

This role will enable analytics teams at the company 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 the company 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 the company 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.