Turquoise HealthSan Diego, CASenior Data Science Engineer building and maintaining healthcare data infrastructure, models, and pipelines on the Spines team. Requires 4+ years Python/SQL experience, strong data architecture skills, and an entrepreneurial mindset for scalable analytics solutions.
Lead the data engineering team to build and evolve a modern cloud-native data platform, drive data culture, and deliver high-impact data products for risk, customer acquisition, and financial services.
Senior engineer building data pipelines and tooling to curate large-scale autonomy datasets from drone logs and media for ML model training. Requires 5+ years experience, strong Python/C++ skills, and production data pipeline expertise.
Design, build and maintain business-critical data systems and ETL pipelines connecting production data to business tools. Build ML models and drive data insights across sales, marketing, product, and finance teams.
Owns end-to-end analytics engineering including dbt models, orchestration, metrics, documentation, and data quality in Snowflake. Requires 5+ years experience, strong SQL/data modeling, and orchestration tooling expertise.
Build dimensional models, data marts, and transformation pipelines in dbt, Airflow, and BigQuery. Partner with analysts, scientists, and engineers to deliver analytics infrastructure and Looker dashboards.