Data Engineer

| Hybrid
Sorry, this job was removed at 11:03 a.m. (EST) on Wednesday, November 13, 2019
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 What You’ll Be Doing:

  • Working on problems that affect the lives of real people. Our users depend on us to make positive changes to their health and their lives.
  • Basing your work on scientifically-proven, peer-reviewed methodologies that are designed by medical professionals
  • Collaborating with a team both onsite and offsite -- about 50% of our engineering team is fully remote; we worry about results, not time spent in seats.

What We're Looking For:

  • Experience dealing with data at scale, processing and transforming hundreds of millions of data points per day.
  • First-rate SQL skills, but are aware of its limits. You know when to use it, and when it’s better to find a different solution.
  • Familiarity with ETL tools and problems -- we use Airflow, Redshift, Glue, and many other systems.
  • A team player able to work alongside data analysts and data scientists

What Makes This Job Amazing

  • You’ll be helping millions of people lead healthier lives every day
  • You’ll be a part of Noom's rocketship-- revenue has grown 20x in the last 2 years and our team is growing fast.
  • You’ll have wonderful benefits including healthcare/dental, wellness budget, daily gourmet meals prepared by our onsite chefs, and onsite yoga
  • You’ll experience huge learning & professional growth opportunities. Noom believes in supporting your professional and personal growth: we’ll cover the cost of books, courses, conferences… you name it!
  • You’ll add to our transparent, high-performing, and close-knit culture


Noom Inc. is a leader in mobile health coaching. We combine the power of technology with the empathy of real human coaches to deliver successful behavior change. Our direct-to-consumer mobile applications have reached more than 45 million users worldwide-- and counting. We’ve leveraged our behavior change platform to incorporate the CDC’s Diabetes Prevention Program (DPP), and have expanded to programs for diabetes management, pre-hypertension, and hypertension. Our Engineering team is at the forefront of this challenge, solving complex technical problems that center around habits, behavior, and lifestyle.

We are looking for a Data Engineer to join our Data team and help us improve and maintain our Data Warehouse. If you like to work with billions of rows of data and be at the center of data-driven decisions, we’ll love working with you.

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Location

450 W 33rd Street, New York , NY 10001

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