Senior Python Data Engineer віддалено Location: Europe About the Product At Turquoise , we’re making healthcare pricing simpler, more transparent and lower cost for everyone. We’ve already launched our consumer-facing website that allows anyone to search and compare hospital insurance rates — something never before possible. Now, we’re rolling out a suite of new products for providers, payers and patients to clean up the healthcare transaction. We want to change how the industry works from
Senior Python Data Engineer
віддалено
Location: Europe
About the Product
At Turquoise , we’re making healthcare pricing simpler, more transparent and lower cost for everyone. We’ve already launched our consumer-facing website that allows anyone to search and compare hospital insurance rates — something never before possible. Now, we’re rolling out a suite of new products for providers, payers and patients to clean up the healthcare transaction. We want to change how the industry works from the inside out.
We’re a Series B-stage startup backed by top VCs. More importantly, we’re a multi-talented group of folks (moonlighting as authors, bass players, improv instructors, chefs, linguists and trivia buffs) with a big passion for improving healthcare. We’re eager to find ambitious yet well-rounded teammates to join us on this mission.
Our product is used by hospitals, health insurance companies, and other companies that pay for healthcare in the US.
Our immediate goal is to continue building and improving our products.
Responsibilities
- Architect and create processing solutions for hundreds terrabytes of healthcare payments data — claims, contract rates and demographics data, to name a few.
- Extend and improve our data platform and data warehouse solutions — ingestion, storage, processing, data optimization, etc.
- Draft internal and external technical documentation.
- Fluidly meet the sporadic daily tasks of a small, growing startup.
Requirements
- 5+ years of experience writing Python and SQL on an advanced level (GC, GIL, multithreading, query optimization).
- Experience with a minimum of 1TB of data processing at once using Spark
- Experience working with PySpark is a must
- Experience working with large datasets, data warehouses (Redshift/Trino/etc. or Postgresql), Airflow, Boto3, and Terraform is an advantage but not a requirement.
- You prioritize tasks with an eye for evolving business needs.
- Expert communication of technical details in simple terms
- Ability to work effectively in a remote environment.
- Good problem-solving skills.
Benefits of the Job
- Stock Option Plan.
- Annual Learning & Development Benefit ($1200).
- Health and wellness package.
- Remote work.