Our client is looking Mid-to-Senior Level Data Engineer at NYC, NY. This is a Permanent Position. Salary between $150-175K per year, VISA Holder Accepted for this position….

This is a unique opportunity to impact recommendation technology which rank our 1+ billion active items in real-time. Client has a large semi-structured data and with millions of new inventory listed every day.

This makes traditional collaborative filtering algorithms difficult to use reliably. We apply cutting edge AI/machine learning techniques on petabytes of data on thousands of Spark nodes. You will be working with other data scientists and data engineers in a team which includes creating new AI/ML models, deploy models in recommendation products which serve billions of requests at very low latency.

Client is building out a high performance cluster of GPUs to tackle some cutting edge Deep Learning problems. All this computing power is used to analyze over 30 Petabytes of data in order to gain better insight on how to best serve users.

Minimum Qualifications

BS/MS in computer science/engineering from a leading university

Minimum 5+ years in Software Development

Strong backend engineering background, ideally using Java and/or Scala

Hands on experience with Spring/Akka or other frameworks is a plus

Hands on experience with Spark/Hadoop. Use of Cascading and Scalding is a plus.

Hands on experience with any streaming platforms like Storm, Kafka, Flink, Beam is a plus.

All your information will be kept confidential according to EEO guidelines.