Data Engineer

Compensation

: $94,330.00 - $148,460.00 /year *

Employment Type

: Full-Time

Industry

: Information Technology



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Qualifications

  • 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 level design/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.




Job Description

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.

  • 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.



Associated topics: data architect, data center, data engineer, data scientist, erp, hbase, mongo database, mongo database administrator, sql, sybase * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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