Senior Data Engineer II at Blink Health

📋 Description

• Own the data engineering architecture and AI-readiness at Blink.
• Design/build/evolve data pipelines, models, and warehouses for analytics.
• Improve data quality, freshness, and usability for AI systems.
• Lead design/refactor of large data warehouses and ETLs; automate patterns.
• Mentor data engineers and raise team technical maturity.
• Translate business needs into scalable data solutions with AI features.

🎯 Requirements

• 8+ years in data or software engineering with production-grade data systems.
• Strong data engineering: dimensional modeling, incremental ingestion, distributed processing.
• Build robust ETL pipelines with SQL, Python, Databricks, Spark, DBT.
• Design/operate columnar data warehouses for analytics and AI readiness.
• Hands-on with batch/streaming data systems: Airflow, Databricks/Spark, Postgres.
• Integrate data platforms with BI tools for AI/ML consumption (Tableau).
• Modern infra and DevOps: Terraform, Docker, Kubernetes.
• Continuously improve data systems to scale AI capabilities.