Remote Data Engineer - Python, ETL, AWS, Graph

Remote Data Engineer (Python / ETL / AWS) needed for a growing cloud based R&D Biotech company! This Jobot Job is hosted by Stanton Sikorsk...

Remote Data Engineer (Python / ETL / AWS) needed for a growing cloud based R&D Biotech company!

This Jobot Job is hosted by Stanton Sikorski
Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume.

A Bit About Us

Founded over a decade ago and based on the East Coast, we specializing in building a cloud-based platform for life scientists. Our mission is to give the brightest minds tools to leverage critical information resources that are key to driving innovation. Our flagship product is a groundbreaking cloud-based R&D SaaS platform built specifically for how life scientists work. By providing researchers with the best digital tools and networking them with colleagues, we're empowering R&D teams to generate novel insights, compress the time and money required to achieve key R&D milestones and produce knowledge that can be monetized to drive business forward. Our customers include Fortune 500 pharmaceutical and life sciences companies as well as mid-level companies. Exp. or knowledge of Graph Databases and Graph Theory are needed for this role.



Why join us?

• Competitive base salary based on exp.
• Full benefits Medical, Dental, Vision
• Generous vacation, sick, PTO, and holidays
• Work Remote
• Bonus
• Equity
  
  

• Build & operate automated ETL pipelines that process terabytes of text data nightly
• Develop service frontends around our various backend datastores (AWS Aurora MySQL, Elasticsearch, S3)
• Perform technical analyses and requirements specification with our product team on data service integrations
• Help customers bring their data to the platform
  

• Python 3+ or Java programming, both would be preferred
• Day-to-day experience using AWS technologies such as Lambda, ECS Fargate, SQS, & SNS
• Exp. building and operating cloud-native data pipelines
• Exp. extracting, processing, storing, and querying of petabyte-scale datasets
• Familiarity with building and using containers
• Familiarity with event-based microservices
• Knowledge of Graph databases and Graph Theory
  

• Prior experience with Elasticsearch (custom development and/or administration)
• Prior work with text and natural-language processing