Senior Data Science Engineer I

Responsibilities

• Work cross-functionally with Product and subject matter experts to conceptualize, prototype, and build data solutions
• Build, unify, augment multi-source healthcare datasets into high-quality, Analytics-ready data models
• Build and maintain data engineering systems that support 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

Requirements

• 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
• Strong research and analytical skills
• Strong grasp of data architecture and engineering practices (ETL/ELT, Airflow, dbt, S3, Redshift)
• Entrepreneurial mindset and ability to prioritize tasks based on business needs
• Bachelor’s degree or equivalent experience

Preferred Qualifications

• Revenue cycle, healthcare payments, and/or medical billing experience
• Thoughtful use of AI coding agents and LLMs in development workflows
• Knowledge of healthcare entities and their structures
• Strong experience in a research intensive field

Benefits

• Competitive pay with equity options
• Stellar health care plan options (Medical, Dental & Vision)
• Unlimited PTO
• 401(k) + 4% Matching
• $750 work-from-home setup budget
• Paid bi-annual in-person company gatherings
• Quarterly $150 co-hanging stipend
• Monthly $100 health and wellness benefit
• Annual $1,200 learning & development stipend

About the Company

Turquoise Health is a Series C price transparency platform for finance leaders across healthcare. Backed by a16z, Oak HC/FT, and others, we power price transparency for 300+ enterprise organizations and are building the infrastructure for a more open, efficient healthcare marketplace.