Senior Data Engineer & Architect — Real-Time Data & AI
BlinkRx
New York (NY)
On-site
USD 130,000 - 160,000
Full time
14 days+
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Job summary
A leading healthcare technology company in New York is seeking a Principal Data Engineer to design, build, and evolve the core data ecosystem. The successful candidate will have over 10 years of experience in data engineering, deep expertise in SQL and Python, and a proven track record in building reliable data pipelines. This role impacts decision-making and operational systems across the company, aiming to unify data and support AI-driven initiatives. Join a collaborative team committed to improving patient outcomes.
Qualifications
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.
Responsibilities
Design, build, and evolve the core data ecosystem.
Own critical aspects of data architecture, modeling, and transformation.
Integrate data from diverse internal and external sources into a unified data foundation.
Design data structures and pipelines that enable AI and advanced analytics use cases.
Skills
SQL
Data engineering
Python
Data modeling
Data transformation
Communication
Job description
A leading healthcare technology company in New York is seeking a Principal Data Engineer to design, build, and evolve the core data ecosystem. The successful candidate will have over 10 years of experience in data engineering, deep expertise in SQL and Python, and a proven track record in building reliable data pipelines. This role impacts decision-making and operational systems across the company, aiming to unify data and support AI-driven initiatives. Join a collaborative team committed to improving patient outcomes.