Leverage your advanced skills in Python and SQL and with platforms like Databricks and AWS to build highly scalable data pipelines and warehouses
Automate data workflows for ingestion, cleansing, quality assurance, enrichment, and aggregation
Ensure data accuracy, integrity, privacy, security, and compliance through automated quality control procedures
Partner with data scientists to deploy machine learning models in production
Leverage your strong backend development skills to ensure that aggregated healthcare and financial data is rendered accurately in the web application
Collaborate with an actuarial science team that primarily works in SAS, R, and Excel
Contribute to the design, implementation, and overall development of our products
Drive innovation and deliver valuable features for our customers
What You'll Bring
Experienced in data-intensive, full-stack development projects
Demonstrated ability to build an MVP and scale it into an enterprise product
Able to work entrepreneurially – self-motivated, ambitious, and fast-paced
Able to ship extremely high caliber code and build exceptional products
High level of attention to detail
Ability to perform under minimal supervision with accountability for specific objectives and work in a rapidly changing, ambiguous start-up environment
Passionate about improving and innovating
Startup experience is highly preferred
Our team works hybrid from the San Francisco Bay Area. We will prioritize candidates who are able to work 1-2x per week from our office and we will consider highly qualified remote candidates who are able to travel for in-person collaboration in San Francisco at least one full week per month.