Lake Success, NY, US
6 hours ago
Lead Data Engineer

Job Description

Leads the implementation of information systems to manage financial functions for Patient Financial Services/Accounts. Oversees projects and initiatives to meet user requirements. Serves as a liaison between department (user) and vendors. Ensures systems compliance to applicable laws, regulatory standards and policies.

Job Responsibility

 

Coordinates implementation of information system initiatives 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.  Develops systems to track data in comprehensive and innovative ways.  Collaborates with hospital departments and outside vendors to facilitate managed care contract implementation.  Coordinates and maintains communication between the hospital and vendor(s) regarding system applications.  Performs periodic post-installation reviews of system initiatives.  Conducts system-wide in-services with managers and staff, as necessary.  Ensures systems compliance to applicable laws, regulatory standards and policies.  Uses knowledge and skills to contribute to the development of functional objectives and principles to achieve goals in innovative ways. Problems addressed are of diverse scope and complexity ranging from moderate to substantial. Performs related duties as required. All responsibilities noted here are considered essential functions of the job under the Americans with Disabilities Act. Duties not mentioned here, but considered related are not essential functions.

Job Qualification

 

Bachelor's Degree required, or equivalent combination of education and related experience. 5-7 years of relevant experience including technical experience with Apache Hadoop, NoSQL, setting up cloud clusters, Apache Spark, and other advanced data science and big data technologies, required.

HIGHLY PREFERRED

Previous experience working with Google Cloud Platform (GCP), including BigQuery to build out data warehouses.  Prior experience working in an Agile team, using Jira/Confluence.  Prior experience writing and scheduling DAGs using Airflow.  Proficiency in Python and SQL.  Experience with CI/CD pipelines and version control systems (GitHub).  Understanding of DevOps practices and SDLC (software development lifecycle) best practices.  Ability to understand and troubleshoot Microsoft SQL Server SSIS packages. 


*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).

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