Job Location: Seattle, WA
Little Otter is reimagining the way that children receive mental health care. We pair technology, and exceptional care to deliver high-quality personalized mental health support to families and children anywhere, anytime. Developed by Dr. Helen Egger, previously Head of Child Psychiatry at NYU Langone and Duke University, and the top minds in early childhood mental health, our programs empower families to get back to what matters the most as soon as possible. Little Otter helps parents better understand their child’s emotions and behaviors, providing personalized care plans and evidence-based therapy.
We are looking for team members who are mission driven and excited to actively participate in growing our offering. Our engineering team is small where there’s an opportunity to have a large impact on the work we are doing and the decision making process. Our approach is to take a data-driven and evidence-based approach to providing high-quality mental health care to families and children and we are building the platform to enable it. This will be the first of its kind – a platform that focuses on providing a family-centric model to care and one that powers our providers to provide data-driven care.
We are seeking an engineer to work on our team to own our data pipelines and infrastructure. Data is at the center of our business and it’s what allows us at Little Otter to provide high quality care to each family. You will be responsible for maintaining and building our data infrastructure that powers our clinical research, our business operations, and our care model. We are looking for someone mission driven who wants to see an immediate impact of their work on team members and families.
- Develop and maintain data pipelines that power our business operations, our clinical research, and our care model
- Build and maintain observability for our data infrastructure
- Partner with business operation team and senior leadership to build key KPI dashboards
- Collaborate with clinical team to understand data needs and build data pipelines to power clinical research
- Collaborate with product development team and directly contribute necessary product changes to collect data to power our data needs
- Create simple APIs for accessing collected data.
- Maintain the data model standard that will be used by the organization.
- 3+ years of strong experience with data transformation on datasets using open technologies like Spark, SQL, DataBricks, DBT, Kedro, pandas, and Jupyter Notebook.
- 3+ years of complex SQL with strong knowledge of SQL optimization and understanding of logical & physical execution plans
- Experience in advanced Data Warehouse concepts & Data Modeling experience (i.e. Relational, Dimensional, internet-scale logs)
- Strong knowledge of Python, UNIX Shell scripting.
- Knowledge of Spark (Batch/Streaming), SparkSQL and PySpark
- Comfort with data visualization technologies such as matlab.pyplot or plotly.
- Experience working with various stakeholders to learn the data domain and manipulate data to fit the needs of the business.
Nice to Haves
- You have worked on engineering teams in the healthcare and mental health space
- You understand HIPAA and other security requirements for handling healthcare data and building systems that manage them
- You or a loved one have benefitted from mental health services, and you wish to give back.
- Join a collaborative community of mission-driven professionals who want to help children and families
- Build a first of its kind platform that focuses on providing a family-centric model to care and one that powers our providers to provide data-driven care.
- Participation in early technical direction of the company
- Benefits include, but are not limited to: competitive salary and equity in an early stage startup, comprehensive health benefits (health, dental, medical), a flexible remote-first working environment and parental leave
- Take-what-you-need PTO policy with 2 weeks off for the winter holidays
- Flexible remote-first working environment
About the Company
Early intervention is essential for lifelong health and wellness. Still, most families and children do not receive the mental health support they desperately need. Little Otter is a venture-backed startup reimagining how children and families receive mental health care. We bring technology, proprietary methods, and exceptional providers together to deliver high-quality mental health support directly to families and children anytime, anywhere. Little Otter’s assessments identify a family’s unique needs, providing a customized care plan that includes a mix of teletherapy and digital self-management tools. Parents receive personalized and judgment-free support that grows with their family over time. Little Otter is the first product of its kind that is sold directly to families. Our goal is to break down existing barriers to high-quality services and empower parents to help their kids when they need it the most.