Job Description
Works directly with the Data Science and Predictive Analytics team to advance data engineering and infrastructure within Northwell, as well as migrate and support machine learning projects in production. Defines and builds the next iteration of features for the Data Science team and is responsible for modifying, expanding, and optimizing our data warehousing to include feature stores, big data, and cloud technologies. Works collaboratively with members from both the Information Technology and clinical functions to support data scientists, systems and initiatives at both the department and the enterprise level.
Job Responsibility
- Manages and coordinates implementation of systems and processes to meet user requirements; communicates with user departments and project teams regarding implementation activities and system changes to ensure feasibility; develops system specifications that appropriately meet department requirements.
Want more jobs like this?
Get Data and Analytics jobs in Lake Success, NY delivered to your inbox every week.
Job Qualification
- Bachelor's Degree in Computer Science, Informatics, Statistics, Engineering, Data Science, or relative quantitative field required, or equivalent combination of education and related experience. Master's Degree, preferred.
- 3-5 years of experience with enterprise level design and implementation of relational databases, big data pipelines, cloud computing, and other advanced data science and big data technologies, required.
- Advanced working knowledge and experience with SQL and relational databases, required. Strong knowledge and experience using the following software and tools, required: SQL/NoSQL, Python, R, Spark, Git, data pipeline tools (e.g., Airflow), cloud infrastructure (Microsoft Azure preferred).
- Experience in building and optimizing data pipelines; deploying and maintaining production machine learning algorithms; and building, testing, and deploying code on cloud infrastructure, required.
- Experience with managing healthcare data, preferred.
- Experience with managing unstructured data and streaming data, preferred.
- Experience in architecting data warehouses and/or data lakes with traditional database enterprise-class RDBMS technologies, preferred.
- Strong knowledge of Business Intelligence & Analytics concepts and platforms, inclusive of data virtualization, data preparation, data visualization and advanced analytics technologies, preferred.
- 5+ years' experience with the Salesforce platform
- Experience in healthcare preferred
- Experience with Salesforce Mule Soft or other enterprise middleware and integration programs preferred
*Additional Salary Detail
The salary range and/or hourly rate listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future.When determining a team member's base salary and/or rate, several factors may be considered as applicable (e.g., location, specialty, service line, years of relevant experience, education, credentials, negotiated contracts, budget and internal equity).