Blink Health is seeking a Senior Data Engineer II to own and drive the evolution of Blink’s data engineering function with an AI-first mindset.
Requirements
- 8+ years of experience in data or software engineering, including ownership of production-grade data systems
- Strong foundation in data engineering principles, including dimensional modeling, incremental data ingestion, and distributed data processing
- Extensive experience building and maintaining robust, scalable ETL pipelines using SQL, Python, Databricks, Spark, and DBT
- Advanced SQL skills, including writing and optimizing complex queries across large and diverse datasets
- Experience designing, operating, and maintaining columnar data warehouses with a focus on reliability, performance, and suitability for advanced analytics and AI
- Hands-on experience with batch and streaming data systems, including Airflow, Databricks / Spark, and relational databases such as Postgres
- Experience integrating data platforms with business intelligence tools (e.g., Tableau, QuickSight) and supporting downstream AI and ML consumption
- Familiarity with modern infrastructure and DevOps practices, including infrastructure as code (Terraform), containerization, and orchestration (Docker, Kubernetes)
- Demonstrated ability to continuously improve data systems through automation, simplification, and thoughtful architectural change, especially in service of scalable AI-driven capabilities