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 prevent one gigaton of carbon from entering 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.

What you'll do:

As a Software Engineer for the Data Science Team, you will collaborate closely with data scientists to design, develop, and maintain robust, scalable, and efficient tooling and infrastructure. Your contributions will directly impact the success of our data science initiatives by providing the technical backbone that accelerates experimentation, analysis, and model deployment.

Responsibilities:

• Develop and maintain tools, libraries, and frameworks that facilitate data collection, preprocessing, analysis, visualization, and model deployment.
• Collaborate with data scientists to understand workflows and pain points, and then design and implement solutions to streamline processes.
• Build data pipelines to ensure smooth data flow from various sources into data scientists' work environments.
• Optimize infrastructure to support large-scale data processing, storage, and computation.
• Work on automating tasks such as model training and performance monitoring.
• Stay up-to-date with the latest advancements in data science tooling and best practices, and proactively incorporate them into our ecosystem.

Requirements

• Curious about seeing ML solutions applied to a novel domain
• 4+ years of professional data engineering experience
• Experience with Linux, git, Python, PyTorch, relational databases, and AWS
• Familiarity with CI/CD pipelines, unit testing frameworks, and observability frameworks
• Great numerical and analytical skills
• Degree in Computer Science, Data Science, or similar field - a Masters is a plus
• Must be authorized to work in the U.S.

Benefits

• 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
• 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
• Competitive compensation including equity
• Remote-friendly
  • Remote or local/hybrid in our Cambridge Central Square office
  • 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%)