Backend Data Engineer

Backend Data Engineer

About Sense

Sense is a fast-growing greentech scale-up based in Cambridge, MA. We build smart home monitoring systems to help people take command of their energy usage, saving money while combating climate change. Our mission is to reduce global carbon emissions by making homes smart and efficient, and we’re looking to make an impact at scale: Sense’s technology has the potential to remove one gigaton of carbon from the atmosphere every year.

We’re looking for talented self-starters who want to be part of the energy transformation and are ready, willing, and able to tackle tough challenges and complex technical problems. When you join the Sense team, you’re helping us build a cleaner, more resilient future.

Sense supports a diverse, equitable, and inclusive workplace and is an equal opportunity employer. We strive to foster an engaging, respectful, and supportive community where everyone feels empowered to do their best work.

To accomplish our mission, we are building an AI and automation platform for home energy infrastructure. Come join our team and ship a great consumer product built on our unique machine learning technology. We have a wide range of interesting technical challenges, a deep stack that spans unsupervised and supervised machine learning, embedded, native mobile, web, and the cloud, and a team of highly curious, collaborative engineers and data scientists who enjoy solving hard problems together. If the idea of having a significant positive impact on the product (and climate) sounds exciting to you, let's talk!

What you'll do:

As a Backend Data Engineer for the Data Science team, you will help you be a key contributor to maintain and improve our Data Ingestion and Machine Learning pipelines as they grow to 10x and 100x in volumes.

You should be:

  • Excited about high-volume data and solving the challenges it poses.
  • Excited to deep dive to understand and optimize storage and compute characteristics of data pipelines
  • Interested in building (or learning how to build) high-availability, performant, and scalable systems.
  • Tenacious when tracking down production issues, digging into metrics and logs as needed to run a problem to the ground.
  • Curious about seeing ML solutions applied to a novel domain

Who you are:

  • 2+ years professional data engineering experience
  • Experience with Linux, Python, relational databases and AWS
  • Great numerical and analytical skills
  • Degree in Computer Science, Data Science or similar filed – a Masters is a plus
  • Must be authorized to work in the U.S.
  • Be a part of building something that will make a difference in the world.
  • Great opportunity to gain experience at a consumer smart home startup.
  • Competitive compensation including equity
  • Remote-friendly
    • This role is 100% Remote
    • Home office setup allowance ($200/year)
  • Great work-life balance
    • Flexible work hours
    • Vacation starting at 3 weeks/year + 1 week paid sick time
    • Paid parental leave (5 weeks or more depending on location)
    • Dependent Care Accounts
  • Generous healthcare benefits for employees and dependents
    • Medical (90% of the premium and first 50% of the deductible)
    • Dental (90%)
    • Vision (100%)
    • Flexible Spending Accounts
    • Life, AD&D, long- and short-term disability insurance (100%)
  • 401k plan with company match
  • Free Sense energy monitor for your home, discounts for friends and family
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