Lead Data Engineer

Key Skills

Agile methodologies, Algorithms, Apache, AWS, Azure, Big Data Technology, Cloud computing, Data Modeling, Data science techniques, Data structuring, Dataform, Effective communication skills, ETL frameworks, Google BigQuery, Google Bigtable, Google Cloud Platform (GCP), Google Dataflow, JavaScript, Leadership, NoSQL, Postgres, Python Programming, Spark Core, SQL

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.

Preferences

• Implementation experience on various GCP’s Data Storage and Processing services such as BigQuery, Dataflow, Bigtable, Dataform, Data fusion, cloud spanner, Cloud SQL
• Programmatic experience with tools like Javascript, Python, Apache Spark
• Experience with dataform in managing Bigquery pipelines, assertions etc.
• Experience handling dataflow templates and pipelines to manage large transformations from on-prem datamarts to cloud.
• GCP Cloud Data Engineering Certification

  *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).

The salary range for this position is $98,300-$170,100/year