Build and maintain data repositories, pipelines, and transformations for customer-facing products, internal tools, and business analytics and operations.
Scale and enhance the company’s data architecture and reporting capabilities to support new products and services.
Work in an event-based architecture to ingest data events, store, organize, and generate reports for analysis.
Collaborate with other developers on the data team, and developers from multiple teams, to define, design, and implement scalable and reliable products and features that use data to improve health care outcomes.
Partner with product management, CSM, business operations, and executives to gather and analyze data to understand quality of care trends.
Ensure data quality and reliability by developing tests and validating results with ongoing monitoring.
Create and maintain technical documentation to help maintain and improve systems.
Work in an Agile environment to plan, track, and improve the delivery of new features and products.
Collaborate with customer support and operations teams to provide support and participate in on-call rotation as needed.

3+ years of professional experience in software or data engineering working at a SaaS company, preferably in a startup environment
Experience building and maintaining data pipelines including ETL or ELT data flows
Experience with cloud query platforms such as AWS Athena and AWS RDS
Experience using Python and PySpark for data processing tasks
Familiarity with workflow orchestration concepts and tools, such as Airflow
Experience with data analytics and visualization technologies and tools, such as Looker
Ability to write efficient SQL queries and improve basic PySpark jobs with guidance
Experience contributing to data storage and pipeline solutions with guidance
Strong verbal and written communication skills with experience in cross-functional team collaboration.
Proactive about anticipating and addressing issues before they arise
Working-level proficiency with SQL and database concepts and tools
Working-level proficiency with data warehouse modeling techniques

Fully remote
Competitive salary & benefits, including fully paid employee premiums for Medical, Dental, and Vision
401k Program
Monthly Education, Well-being & WFH stipends
Non-accrual PTO
Growth Potential
Company Retreats
Medical & Family/Parental Leave

Data Developer

Key skills