Lead Data Engineer - Rockefeller Neuroscience Institute

West Virginia University

Morgantown, WV

ID: 7076596
Posted: March 31, 2021
Application Deadline: Open Until Filled

Job Description


The Rockefeller Neuroscience Institute at West Virginia University Research Corporation is seeking applications for a Lead Data Engineer who will assist the data scientist team in building RNI’s data collection systems and processing pipelines. Responsible for building and maintaining optimized and highly available data pipelines that facilitate deeper analysis and reporting by the Data Science & Analytics department. Builds data processing frameworks that handle RNI’s growing database of clinical and applied research. Works with senior data science leadership as well as other Data Science & Analytics teams in leveraging data with reporting and scientific tools; for example: Python, Spark, R, etc. Strives to continuously develop new and improved data engineering capabilities.

In order to be successful in this position, the ideal candidate will:

● Management & Strategy
Provides senior-level contribution to a team that is responsible for the design, deployment, and maintenance of RNI’s data platforms
Owns and extends RNI’s data pipeline through the collection, storage, processing, and transformation of large data-sets
Monitor the existing metrics, analyze data, and lead partnership with other Data Science & Analytics teams in an effort to identify and implement system and process improvements
Develop queries for ad hoc RNI projects, as well as ongoing reporting
Build a metadata system where all available data is maintained and cataloged, and play a major role in the development of reliable data pipelines that translate raw data into powerful features and signals
Design, architect, implement, and support key datasets that avail structured and timely access to actionable insights, and develop ETL processes that convert data into formats through a team of data analysts and dashboard charts
● Collaboration & Support
Play a collaborative role working closely with RNI’s Data Science & Analytics teams, gathering technical requirements for exceptional data governance across the department and RNI at large
Work with the data analysts, data warehousing engineers, and data scientists in finding and applying best practices within the Data Science & Analytics department as well as defining RNI’s data requirements, ensuring that the collected data is of a high quality and optimal for use across the department and RNI at large
Work with senior data science management and departments beyond the Data Science & Analytics department in analyzing and understanding data sources, participating in design, and providing insights and guidance on database technology and data modeling best practices
Draw performance reports and strategic proposals form gathered knowledge and analyses results for senior data science leadership
● Analytics
Play an analytical role developing and managing scalable data processing platforms for exploratory data analysis and real-time analytics. Oversee, design, and develop algorithms for real-time data processing within RNI and to create the frameworks that enable quick and efficient data acquisition.
Retrieve and analyze data through the use of SQL, Excel, among other data management systems. Build data loading services for the purpose of importing data from numerous disparate data sources, inclusive of APIs, logs, relational, and non-relational databases.
● Knowledge & Opportunity
Responsibility of contributing to the continual improvement of RNI’s data platforms through observations and well-researched knowledge. Keeps track of industry best practices and trends and through acquired knowledge, takes advantage of process and system improvement opportunities.


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