About Ethos

Ethos was built to make it faster and easier to get life insurance for the next million families. Our approach blends industry expertise, technology, and the human touch to find you the right policy to protect your loved ones. 

We leverage deep technology and data science to streamline the life insurance process, making it more accessible and convenient. Using predictive analytics, we are able to transform a traditionally multi-week process into a modern digital experience for our users that can take just minutes! We’ve issued billions in coverage each month and eliminated the traditional barriers, ushering the industry into the modern age. Our full-stack technology platform is the backbone of family financial health.

We make getting life insurance easier, faster and better for everyone. 

Our investors include General Catalyst, Sequoia Capital, Accel Partners, Google Ventures, SoftBank, and the investment vehicles of Jay-Z, Kevin Durant, Robert Downey Jr and others. This year, we were named on CB Insights' Global Insurtech 50 list and BuiltIn's Top 100 Midsize Companies in San Francisco. We are scaling quickly and looking for passionate people to protect the next million families! 

About the Role

Ethos is an extremely data driven company. We take every decision backed by data. Making data and insights available to everyone in the company is the mission of the data engineering team. You will work with some of the brightest people helping drive infrastructure and insights to disrupt one of the oldest and largest industries in the country.

Duties and Responsibilities:

  • Your team owns data platforms like Snowflake, Segment Airflow, DBT, Mode, and Sagemaker.  Take responsibility for everything from configuration using Terraform to monitoring and observation using Datadog.  Operational excellence is the name of the game.
  • Integrate new versions of systems and upgrades to software on a regular, timely cadence. 
  • Evaluate changes for performance or functional impact and manage deployments appropriately.
  • Provide observability into our systems.  Use out of the box functionality if possible, build it out if necessary. 
  • Setup monitoring, alerting, and notifications to proactively respond to any issues.  
  • Constantly optimize usage across all of our platforms.  
  • Maintain change control for data infrastructure. 
  • Build realtime data pipelines to ingest structured and unstructured data into data warehouse
  • Build ETL pipelines using Airflow to drive analytics, reporting and machine learning
  • Build and maintain data governance, classification and dictionary
  • Constantly improve A/B test framework and reporting
  • Support leadership and every single team with research on key business initiatives and challenges

Qualifications and Skills:

  • Minimum of 5 years of experience with Python, Java, or Scala
  • Minimum of 5 years of solid software engineering experience building data or backend systems
  • Comfortable with navigating complex topics and using data to make decisions
  • Excellent communication, presentation, and interpersonal skills

#LI-Hybrid

#LI-DG1

Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. At Ethos we are dedicated to building a diverse, inclusive and authentic workplace.

We are an equal opportunity employer who values diversity and inclusion and look for applicants who understand, embrace and thrive in a multicultural world. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the SF Fair Chance Ordinance, we will consider employment for qualified applicants with arrests and conviction records.

To learn more about what information we collect and how it may be used, please refer to our California Candidate Privacy Notice.

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