About the Role
We’re looking for a driven, entrepreneurial Senior Data Science Engineer to join our Spines team, the core group responsible for building, maintaining, and understanding the backbone of our data infrastructure. You will help eliminate the financial complexity of healthcare by building creative solutions backed by technical knowledge.
Responsibilities
- Work cross-functionally with Product and subject matter experts to conceptualize, prototype, and build data solutions.
- Build, unify, and augment multi-source healthcare datasets into high-quality, analytics-ready data models.
- Build and maintain data engineering systems that support a wide range of downstream processes and products.
- Contribute to building, maintaining, and testing data pipelines.
- Draft internal and external technical documentation.
- Seek and prioritize technical and product feedback from internal customers.
- Iterate quickly with an eye towards value.
What you’ll bring
- 4+ years of experience developing data models, pipelines, and end-to-end analytical solutions using Python and SQL.
- Ability to design data systems with scalability, performance, and cost efficiency in mind, particularly for compute- and data-intensive workloads.
- Strong research and analytical skills.
- Strong grasp of data architecture and engineering practices, including ETL/ELT workflows, orchestration tools (e.g., Airflow, dbt), and cloud-based storage (e.g., S3, Redshift).
- Entrepreneurial mindset with a focus on evolving business needs.
- Comfortable working remotely in a collaborative, technical team.
- Bachelor’s degree, or equivalent experience/knowledge.
Bonus Points
- Revenue cycle, healthcare payments, and/or medical billing experience.
- Thoughtful use of AI coding agents and LLMs in development workflows.
- Knowledge of healthcare entities, how they work together and how they are structured.
- Strong experience in a research-intensive field.