Data Engineer

New York, United States Full-time

About Oden:

We are on the brink of the next industrial revolution.

Manufacturing has long been an analog world, but this is about to change.  By introducing machines to the digital world, there’s a staggering opportunity for efficiency and production leaps. Oden is driving this revolution. We’re on a mission to eliminate waste in manufacturing.

We have combined industrial hardware, wireless connectivity, and big data architecture into one simple platform so all manufacturers can analyze and optimize their production, from any device. Efficiency, sustainability, and competitiveness are democratized.

What We Offer You:

  • Building machine learning data pipelines for realtime products on an IoT platform that ingests millions of data points per day.
  • Measurable impact to the world. You have the chance to help actual people - family businesses, entrepreneurs, engineers - that will result in tangible improvements to the world.
  • Exposure to many tech disciplines, most of which are rapidly evolving.
  • Scientific and transparent thinking for everyone involved.
  • We have backing by world leaders of both industry and tech that will ensure long term growth and development for us.


  • Care about the purpose of the product and company.
  • Are excited by new software and technology and keep up to date with the ecosystem.
  • Are never satisfied with the way things are, but excited about the way things could be.
  • Tinker. You embrace different technologies and want to see how they can work together.
  • Empathize with customer needs while also looking towards long-term innovation.
  • Live by transparent and scientific thinking.

The Role:

You are responsible for the data from the time it exits the factory until it reaches the hands of our users. Your primary responsibility will be ensuring the secure, timely, and accurate processing of data as it moves between pipelines and takes many different forms along the way. You will be responsible for architecting our machine learning data pipeline from the ground-up.


  • Experience working with massive amounts of timeseries data.
  • Experience building and maintaining production machine learning pipelines.
  • Knowledge of batch or realtime stream processing frameworks.
  • Understanding of event-based programming using queues and workers.
  • Understanding of state management patterns and asynchronous flow control.
  • Understanding of ETL and data pipeline best practices.


  • Background in machine learning and statistics.
  • Experience with Google Cloud Platform products (PubSub, Dataflow).
  • Experience with graph databases.
  • Experience outside the realm of backend (hardware, security, networking).

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