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

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.

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

Senior Data Engineer II