Principal Data Engineer

Blink Health • New York, NY

4h

About The Position

BlinkRx is seeking a highly experienced Principal Data Engineer to design, build, and evolve our core data ecosystem. This role is for a hands-on technical leader who thrives on transforming raw, disparate data into trusted, well-modeled, and analytics-ready assets that power decision-making, AI, and operational systems across the company.
As a senior individual contributor within the Data organization, you will own critical aspects of data architecture, modeling, and transformation. You’ll play a central role in unifying data across domains, evolving schemas and pipelines as the business changes, and ensuring our data foundation supports real-time use cases, advanced analytics, and AI-driven initiatives.

Requirements

• 10+ years of experience in data engineering or related software engineering roles.
• Deep expertise in SQL and data transformation frameworks, with strong proficiency in Python.
• Extensive experience designing and maintaining data models (dimensional, relational, and analytical).
• Proven track record of building reliable data pipelines from raw data to analytics and reporting layers.
• Experience integrating and unifying data across multiple systems and domains.
• Strong understanding of data quality, testing, observability, and lifecycle management.
• Excellent communication skills and ability to drive alignment through technical leadership rather than people management.

Nice To Haves

• Experience supporting AI or machine learning workloads with production-grade data pipelines.
• Background in healthcare, pharmacy, or other regulated data environments.
• Experience with real-time or streaming data architectures.
• Familiarity with modern cloud data stacks (e.g., cloud data warehouses, Spark-based processing).

Responsibilities

• Design and maintain robust data models that clearly define structure, relationships, and business meaning across domains.
• Establish and evolve canonical data definitions, schemas, and dimensional models to support analytics, reporting, and AI use cases.
• Ensure data models balance scalability, performance, and ease of use for downstream consumers.
• Build and own end-to-end data transformation workflows, from raw ingestion through curated, modeled, and reporting-ready layers.
• Implement scalable ELT/ETL patterns that support batch and real-time data processing.
• Continuously refactor and improve existing pipelines to increase reliability, performance, and clarity as requirements evolve.
• Integrate data from diverse internal and external sources into a unified, consistent data foundation.
• Resolve data duplication, inconsistency, and fragmentation across systems through thoughtful modeling and transformation.
• Partner with upstream and downstream teams to ensure clean contracts and reliable data interfaces.
• Design data structures and pipelines that enable AI, machine learning, and advanced analytics use cases.
• Ensure training, feature, and inference data are accurate, timely, and reproducible.
• Collaborate with analytics and data science partners to operationalize AI-ready datasets.
• Lead change management for data systems, including schema evolution, backfills, and migration strategies.
• Establish best practices for refactoring data pipelines without disrupting critical reporting or consumers.
• Act as a steward of long-term data quality, maintainability, and technical integrity.
• Partner closely with Analytics, Product, Finance, Operations, and Engineering to translate business needs into scalable data solutions.
• Communicate complex data concepts clearly to technical and non-technical stakeholders.
• Set standards and provide technical guidance to other data engineers through design reviews and mentorship.

Benefits

• We are an equal opportunity employer and value diversity of all kinds. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: No Education Listed