BlinkRx · 11 hours ago
Senior Data Engineer II
New York, NY
Full-time
Onsite
Senior Level, Lead/Staff
8+ years expBlink Health is the fastest growing healthcare technology company that builds products to make prescriptions accessible and affordable to everybody. They are seeking a Staff Data Engineer to own and drive the evolution of Blink’s data engineering function with an AI-first mindset, responsible for shaping and executing a forward-looking data strategy.
AppsE-CommerceHealth CareOnline PortalsPharmaceutical
Responsibilities
Own the technical direction for Blink’s data engineering architecture, balancing immediate business needs with long-term scalability, reliability, maintainability, and AI readiness
Design, build, and evolve core data pipelines, models, and warehouses that support analytics, reporting, operational decision-making, and AI/ML use cases
Proactively assess production data warehouse trends and operational issues, identifying systemic problems and driving durable short- and long-term solutions that improve data quality, freshness, and usability for AI systems
Define and enforce standards for data modeling, data quality, observability, and performance across the data ecosystem, with an emphasis on producing trusted inputs for machine learning and AI
Lead the design and refactoring of large enterprise data warehouses and associated ETLs, simplifying architecture through automation, improved patterns, and AI-friendly data abstractions
Serve as a technical authority in peer code reviews and architecture reviews, setting a high bar for clean, correct, maintainable, and AI-compatible data systems
Partner closely with analytics, product, and engineering teams to translate ambiguous business needs into scalable data solutions, including data products that enable AI-powered features
Identify opportunities to increase leverage through shared frameworks, tooling, reusable data assets, and data products that accelerate AI development
Mentor and guide other data engineers, raising the overall technical maturity and effectiveness of the team in building data systems that safely support AI
Qualification
Required
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, with an understanding of how these choices impact AI and ML workflows
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
Company
BlinkRx
BlinkRx is a prescription access platform that connects patients to branded medications, ensuring transparent pricing and home delivery.
501-1000 employees
Funding
Current Stage
Late StageTotal Funding
$315MKey Investors
1789 CapitalSuRo Capital8VC
2024-11-16Series D· $140M
2020-10-27Series Unknown· $10M
2017-04-12Series B· $90M
Leadership Team
Geoffrey Chaiken
Founder & CEO
Matthew Chaiken
Co-Founder
Recent News
2026-02-06
Company data provided by crunchbase