Data Engineer

Work directly with the Program Director for Data Science and data science
team to advance data engineering and infrastructure with Northwell, as well as
migrate and support machine learning projects into production.  Define and build the next iteration of
features for the data science team and will be responsible for modifying,
expanding and optimizing our data warehouse to include big data and cloud
technologies.  Work collaboratively with
members from both the Information Technology and clinical communities to support
data scientists, systems and initiatives at both the department and the
enterprise level. 

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• Assist
  data scientists, data engineers, cloud architects, and subject matter advisors in
  testing, deploying, and maintaining artificial intelligence and machine learning
  algorithms.
• Work collaboratively to develop, construct,
  test, and maintain large scale data processing systems and databases.
• Participate
  in projects to architect (research, recommend, design, develop and deploy)
  advanced systems for the collection, aggregation and analysis of those data in
  alignment with business objectives.
• Provide big
  data technology assessments, strategies, and roadmaps in several technical
  domains and act as a subject matter advisor on big data.
• Participate
  in configuring the architecture and advise data scientists on efficient
  performance.
• Develop
  and optimize ETL processes, implement transformations and quality check results.
• Work with
  cross functional research leadership, technical and analytical teams to
  understand current and future enterprise-wide big data analytics goals spanning
  disparate platforms and datatypes.
• Assist in ensuring that systems are implemented
  to support Health System initiatives and goals to improve the quality of
  patient care, to maximize patient safety, and to provide operational
  efficiencies.
• Serve as a resource to the Director of Quality
  Informatics and Program Director of Data Science.
• Demonstrate familiarity with current hospital
  information systems.
• Performs other duties as
  assigned

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• Bachelor’s Degree in Computer Science,
  Informatics, Statistics, Engineering, Data Science, or related field, required.
  Master’s Degree, preferred.
• Minimum of two (2) years of experience  with Apache Hadoop, NoSQL, setting up cloud
  clusters, Apache Spark, and other advanced data science and big data
  technologies, required.
• Experience in software development in enterprise/ web/ cloud applications, solutioning, architecture and
  frameworks.
• Big data expertise with cloud and enterprise
  leveldesign/implementation.
• Experience in
  architecting data warehouses and/or data lakes with traditional database
  enterprise-class RDBMS technologies.
• Strong knowledge of programming
  languages/tools including: Java,
  Python, Spark, SQL, R, and Shell Scripts.
• Experience with or understanding of how
  to build, test, and deploy code to run on cloud infrastructure.
• Fluent with functional, imperative and
  object-oriented languages and methodologies and Design Patterns.
• Strong knowledge of Business
  Intelligence & Analytics concepts and platforms, inclusive of data
  virtualization, data preparation, data visualization and advanced analytics
  technologies.
• Experience with Unix/Linux systems with
  scripting experience, open source programming languages for large data, and
  AWS/CPG/Azure platforms.  
• Strong
  interpersonal skills, capable of working collaboratively with clinicians and
  administrators.