Senior Data Engineer, Digital Health Technologies & Data Science (DHT &DS)

  • Cambridge, MA
  • Full-time
  • Department: Information Technology
  • Region: US

Job Description

We need a quick learning multi-skilled developer (Senior Data Engineer) to integrate the technology, write robust multi-tiered applications and build creative UI/UX. It’s all green-field work, using the most exciting areas of technology, working with the best people, in a booming industry.
The core technology focuses around Java (Spring), JavaScript (AngularJS), Linux (Docker), Python, Cloud (AWS) and a tool chest of NoSql & Sql data stores. The teams are small and follow Agile Scrum or Agile Kanban depending on the needs of the project and the best approach for the team.
This is a rare opportunity to work with Big Data, leading edge JavaScript development, Spring Framework, Docker, Python, AWS and NoSql (Document stores, network graph, columnar etc). In addition your work will have a direct influence on Biogen’s research into MS and other neurological diseases.

Job overview:
As a Senior Data Engineer in DHT&DS, the individual provides advanced technical expertise in big data computing, scalable storage and data integration technologies. The Senior Data Engineer will enable high throughput data ingestion, organization (weaving structured and unstructured), analysis, computation, visualization and sharing/reporting. The individual will provide technical leadership, intellectual impetus and sense of urgency for enabling “ingestion-to-insight” capabilities working with Data Scientists and Data Architects. The individual will be responsible for maintaining an efficient Agile team by helping to hire/retain talent and mentor/coach junior data engineers.


Required skills:
• Extensive experience with Java and elegant coding patterns
• Expert level development tool experience: Git, JIRA, wiki, Bamboo/Jenkins, Slack, Jupyter
• Proven scripting: Bash, Python etc
• Knowledge of cloud first architecture patt

Additional Information

Biogen is continuing to build out a DHT&DS group to explore Big Data technology, Data Science approaches, Information Science techniques & Software Engineering practices to seek the best solutions for our massive repositories of complex data.
There is no single solution to the complex data problems Biogen is trying to tackle. In order to tackle the non-trivial visualization and analytics components we need to build a suite of new custom applications leveraging some of the most innovative ideas.

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