Sr Data Engineer

Position: Sr Data Engineer
Location: New York, United States
Remuneration: $ 150000.00 - $ 200000.00 per annum
Who is hiring?
My client is a fintech infrastructure company that transforms business documents into actionable data, powered by Artificial Intelligence. This company plugs directly into customer workflows via API, eliminating the need for manual data work, which includes a built-in fraud detection and analytics feature, enabling customers to make smarter and faster business decisions with unprecedented precision.

They have established new platforms and capabilities for users both inside and outside the company and are building to support a wide variety of use cases with a high degree of engineering rigor as well as product agility. 

We are seeking a candidate with proven experience building data-intensive systems to join our Data Team as a platform-centric engineer and technical leader.
What will you be doing?
Responsibilities
  • Build our data platforms and orchestration tools, and help ensure delivery of early use cases for the platform
  • Partner with our SRE team to ensure the data platform is consistently healthy and that its operational burdens are eliminated or minimized
  • Partner with Product Engineering and Machine Learning teams to create new features, models, and products
  • Partner with Compliance Officers and Security Engineers to ensure the data platform is secure and compliant with a range of security standards
  • Mentor Data Engineers (and Data Scientists) in learning how to write high quality computer code

Requirements
  • 5+ years building software using python, scala, java, c++, etc
  • Fluent in SQL or database query languages
  • Knowledge of Continuous Delivery principles, automation, and testing practices
  • Comfortable delivering tech in cloud environments such as AWS
  • Interest in database internals and distributed systems: We will use Postgres, Kafka, Spark, Hudi, Elastic, Terraform and other open source tools to compose our platform.

Nice To Have
  • Experience thoughtfully implementing security standards such as PCI or SOC
  • Analytics or Machine Learning experience

 
 
Why you shouldn’t miss this opportunity?
 
Data Science(Data Engineer), Data Engineering

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