NAVIS is excited to be hiring a Data Engineer for a remote, US-based position! Candidates based outside of the US are not being considered at this time. This is a NEW position due to growth in this area.

Be a critical element of what sets NAVIS apart from everyone else! Join the power behind the best-in-class Hospitality CRM software and services that unifies hotel reservations and marketing teams around their guest data to drive more bookings and revenue.

Our Guest Experience Platform team is seeking an experienced Data Engineer to play a lead role in the building and running of our modern big data and machine learning platform that powers our products and services. In this role, you will responsible for building the analytical data pipeline, data lake, and real-time data streaming services. You should be passionate about technology and complex big data business challenges.

You can have a huge impact on everything from the functionality we deliver for our clients, to the architecture of our systems, to the technologies that we are adopting.

You should be highly curious with a passion for building things!

Click here for a peek inside our Engineering Team

DUTIES & RESPONSIBILITIES:



Design and develop business-critical data pipelines and related back-end services



Identification of and participation in simplifying and addressing scalability issues for enterprise level data pipeline



Design and build big data infrastructure to support our data lake



QUALIFICATIONS:



2+ years of extensive experience with Hadoop (or similar) Ecosystem (MapReduce, Yarn, HDFS, Hive, Spark, Presto, HBase, Parquet)



Experience with building, breaking, and fixing production data pipelines



Hands-on SQL skills and background in other data stores like SQL-Server, Postgres, and MongoDB



Experience with continuous delivery and automated deployments (Terraform)



ETL experience



Able to identify and participate in addressing scalability issues for enterprise level data



Python programming experience



DESIRED, BUT NOT REQUIRED SKILLS:



Experience with machine learning libraries like scikit-learn, Tensorflow, etc., or an interest in picking it up



Experience with R to mine structured and unstructured data and/or building statistical models



Experience with Elasticsearch



Experience with AWS services like Glue, S3, SQS, Lambda, Fargate, EC2, Athena, Kinesis, Step Functions, DynamoDB, CloudFormation and CloudWatch will be a huge plus



POSITION LOCATION:

There are 3 options for the location of this position (candidates based outside the US are NOT being considered at this time):



You can work remotely in the continental US with occasional travel to Bend, Oregon

in the continental US with occasional travel to Bend, Oregon

You can be based at a shared office space in the heart of downtown Portland, Oregon



You can be based at our offices in Bend, Oregon (relocation assistance package available)



Check out this video to learn more about the Tech scene in Bend, Oregon

NAVIS OFFERS: